Overview

Dataset statistics

Number of variables108
Number of observations77159
Missing cells1308864
Missing cells (%)15.7%
Total size in memory63.6 MiB
Average record size in memory864.0 B

Variable types

Numeric86
Categorical22

Warnings

pymnt_plan has constant value "n" Constant
emp_title has a high cardinality: 28185 distinct values High cardinality
int_rate has a high cardinality: 129 distinct values High cardinality
earliest_cr_line has a high cardinality: 622 distinct values High cardinality
revol_util has a high cardinality: 1074 distinct values High cardinality
emp_title has 5862 (7.6%) missing values Missing
next_pymnt_d has 43903 (56.9%) missing values Missing
annual_inc_joint has 67777 (87.8%) missing values Missing
verification_status_joint has 67780 (87.8%) missing values Missing
hardship_flag has 1627 (2.1%) missing values Missing
hardship_reason has 72668 (94.2%) missing values Missing
hardship_type has 72668 (94.2%) missing values Missing
hardship_status has 72668 (94.2%) missing values Missing
payment_plan_start_date has 72668 (94.2%) missing values Missing
dti_joint has 67777 (87.8%) missing values Missing
inq_fi has 2495 (3.2%) missing values Missing
inq_last_12m has 2495 (3.2%) missing values Missing
open_acc_6m has 2495 (3.2%) missing values Missing
total_cu_tl has 2495 (3.2%) missing values Missing
total_bal_il has 2495 (3.2%) missing values Missing
mths_since_last_record has 65802 (85.3%) missing values Missing
mths_since_last_major_derog has 57285 (74.2%) missing values Missing
mths_since_recent_bc has 1047 (1.4%) missing values Missing
mths_since_recent_bc_dlq has 59765 (77.5%) missing values Missing
mths_since_recent_inq has 9243 (12.0%) missing values Missing
mths_since_rcnt_il has 4879 (6.3%) missing values Missing
mths_since_last_delinq has 39645 (51.4%) missing values Missing
mths_since_recent_revol_delinq has 51792 (67.1%) missing values Missing
mo_sin_old_il_acct has 2437 (3.2%) missing values Missing
open_act_il has 2495 (3.2%) missing values Missing
open_il_12m has 2495 (3.2%) missing values Missing
open_il_24m has 2495 (3.2%) missing values Missing
il_util has 13262 (17.2%) missing values Missing
bc_util has 1154 (1.5%) missing values Missing
all_util has 2511 (3.3%) missing values Missing
open_rv_12m has 2495 (3.2%) missing values Missing
open_rv_24m has 2495 (3.2%) missing values Missing
max_bal_bc has 2495 (3.2%) missing values Missing
bc_open_to_buy has 1116 (1.4%) missing values Missing
percent_bc_gt_75 has 1119 (1.5%) missing values Missing
revol_bal_joint has 67777 (87.8%) missing values Missing
deferral_term has 72668 (94.2%) missing values Missing
hardship_amount has 71042 (92.1%) missing values Missing
hardship_payoff_balance_amount has 71042 (92.1%) missing values Missing
hardship_last_payment_amount has 71042 (92.1%) missing values Missing
orig_projected_additional_accrued_interest has 71170 (92.2%) missing values Missing
annual_inc is highly skewed (γ1 = 55.06570769) Skewed
dti is highly skewed (γ1 = 29.31819624) Skewed
tot_coll_amt is highly skewed (γ1 = 39.7144788) Skewed
tax_liens is highly skewed (γ1 = 40.22451209) Skewed
id has unique values Unique
delinq_2yrs has 62435 (80.9%) zeros Zeros
inq_fi has 38035 (49.3%) zeros Zeros
inq_last_12m has 21987 (28.5%) zeros Zeros
inq_last_6mths has 49790 (64.5%) zeros Zeros
last_fico_range_low has 1351 (1.8%) zeros Zeros
mort_acc has 34707 (45.0%) zeros Zeros
open_acc_6m has 34959 (45.3%) zeros Zeros
acc_open_past_24mths has 3830 (5.0%) zeros Zeros
pub_rec has 65802 (85.3%) zeros Zeros
out_prncp has 44425 (57.6%) zeros Zeros
out_prncp_inv has 44425 (57.6%) zeros Zeros
total_rec_late_fee has 72155 (93.5%) zeros Zeros
total_cu_tl has 41321 (53.6%) zeros Zeros
tot_coll_amt has 64954 (84.2%) zeros Zeros
total_bal_il has 8384 (10.9%) zeros Zeros
total_bc_limit has 1119 (1.5%) zeros Zeros
total_il_high_credit_limit has 8759 (11.4%) zeros Zeros
mths_since_recent_inq has 5742 (7.4%) zeros Zeros
mo_sin_rcnt_rev_tl_op has 1299 (1.7%) zeros Zeros
mo_sin_rcnt_tl has 1348 (1.7%) zeros Zeros
open_act_il has 8630 (11.2%) zeros Zeros
open_il_12m has 42695 (55.3%) zeros Zeros
open_il_24m has 21305 (27.6%) zeros Zeros
bc_util has 1122 (1.5%) zeros Zeros
open_rv_12m has 28516 (37.0%) zeros Zeros
open_rv_24m has 12541 (16.3%) zeros Zeros
max_bal_bc has 2122 (2.8%) zeros Zeros
bc_open_to_buy has 801 (1.0%) zeros Zeros
recoveries has 70460 (91.3%) zeros Zeros
chargeoff_within_12_mths has 76572 (99.2%) zeros Zeros
collection_recovery_fee has 70460 (91.3%) zeros Zeros
collections_12_mths_ex_med has 75573 (97.9%) zeros Zeros
num_accts_ever_120_pd has 59899 (77.6%) zeros Zeros
num_actv_bc_tl has 2173 (2.8%) zeros Zeros
num_bc_sats has 1062 (1.4%) zeros Zeros
num_il_tl has 2449 (3.2%) zeros Zeros
num_tl_90g_dpd_24m has 73097 (94.7%) zeros Zeros
num_tl_op_past_12m has 16593 (21.5%) zeros Zeros
percent_bc_gt_75 has 24793 (32.1%) zeros Zeros
pub_rec_bankruptcies has 67544 (87.5%) zeros Zeros
tax_liens has 75278 (97.6%) zeros Zeros
hardship_amount has 3906 (5.1%) zeros Zeros

Reproduction

Analysis started2021-05-11 21:21:27.171182
Analysis finished2021-05-11 21:21:29.156168
Duration1.98 second
Software versionpandas-profiling v2.13.0
Download configurationconfig.yaml

Variables

id
Real number (ℝ≥0)

UNIQUE

Distinct77159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115263225.7
Minimum1227221
Maximum126417358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:29.285203image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1227221
5-th percentile111704972.7
Q1114165752.5
median117876827
Q3124802306.5
95-th percentile125988668.6
Maximum126417358
Range125190137
Interquartile range (IQR)10636554

Descriptive statistics

Standard deviation20331289.98
Coefficient of variation (CV)0.1763900833
Kurtosis22.82173119
Mean115263225.7
Median Absolute Deviation (MAD)4356092
Skewness-4.817427742
Sum8.893595232 × 1012
Variance4.133613524 × 1014
MonotonicityNot monotonic
2021-05-11T22:21:29.419234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1140346871
 
< 0.1%
1263111021
 
< 0.1%
1130257291
 
< 0.1%
1182624681
 
< 0.1%
1256004531
 
< 0.1%
1135459271
 
< 0.1%
1135684561
 
< 0.1%
1135582211
 
< 0.1%
1172343821
 
< 0.1%
1194175521
 
< 0.1%
Other values (77149)77149
> 99.9%
ValueCountFrequency (%)
12272211
< 0.1%
12445431
< 0.1%
13720361
< 0.1%
15450381
< 0.1%
30059811
< 0.1%
ValueCountFrequency (%)
1264173581
< 0.1%
1264173181
< 0.1%
1264172161
< 0.1%
1264161891
< 0.1%
1264154561
< 0.1%

emp_title
Categorical

HIGH CARDINALITY
MISSING

Distinct28185
Distinct (%)39.5%
Missing5862
Missing (%)7.6%
Memory size602.9 KiB
Teacher
 
1658
Manager
 
1436
Owner
 
1148
Supervisor
 
694
Driver
 
666
Other values (28180)
65695 

Unique

Unique23094 ?
Unique (%)32.4%

Sample

1st rowStagehand
2nd rowDetention Deputy
3rd rowDriver
4th rowJP Morgan Chase
5th rowsales agent
ValueCountFrequency (%)
Teacher1658
 
2.1%
Manager1436
 
1.9%
Owner1148
 
1.5%
Supervisor694
 
0.9%
Driver666
 
0.9%
Registered Nurse594
 
0.8%
Sales558
 
0.7%
RN541
 
0.7%
Director383
 
0.5%
Project Manager368
 
0.5%
Other values (28175)63251
82.0%
(Missing)5862
 
7.6%

application_type
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size602.9 KiB
Individual
67777 
Joint App
9382 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIndividual
2nd rowIndividual
3rd rowIndividual
4th rowIndividual
5th rowIndividual
ValueCountFrequency (%)
Individual67777
87.8%
Joint App9382
 
12.2%

home_ownership
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size602.9 KiB
MORTGAGE
37334 
RENT
30749 
OWN
9074 
ANY
 
1
NONE
 
1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowRENT
2nd rowRENT
3rd rowMORTGAGE
4th rowRENT
5th rowMORTGAGE
ValueCountFrequency (%)
MORTGAGE37334
48.4%
RENT30749
39.9%
OWN9074
 
11.8%
ANY1
 
< 0.1%
NONE1
 
< 0.1%

loan_status
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size602.9 KiB
Fully Paid
34289 
Current
32039 
Charged Off
9614 
Late (31-120 days)
 
659
In Grace Period
 
448
Other values (2)
 
110

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFully Paid
2nd rowCharged Off
3rd rowCurrent
4th rowFully Paid
5th rowFully Paid
ValueCountFrequency (%)
Fully Paid34289
44.4%
Current32039
41.5%
Charged Off9614
 
12.5%
Late (31-120 days)659
 
0.9%
In Grace Period448
 
0.6%
Late (16-30 days)96
 
0.1%
Default14
 
< 0.1%

loan_amnt
Real number (ℝ≥0)

Distinct1439
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15156.51998
Minimum1000
Maximum40000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:30.086386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile3000
Q17800
median12175
Q320000
95-th percentile35000
Maximum40000
Range39000
Interquartile range (IQR)12200

Descriptive statistics

Standard deviation9749.195616
Coefficient of variation (CV)0.6432344384
Kurtosis-0.1334581055
Mean15156.51998
Median Absolute Deviation (MAD)6175
Skewness0.8155815834
Sum1169461925
Variance95046815.16
MonotonicityNot monotonic
2021-05-11T22:21:30.202412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100007279
 
9.4%
200004723
 
6.1%
150004305
 
5.6%
120004161
 
5.4%
50003324
 
4.3%
60002634
 
3.4%
350002603
 
3.4%
80002539
 
3.3%
160002492
 
3.2%
250002376
 
3.1%
Other values (1429)40723
52.8%
ValueCountFrequency (%)
1000418
0.5%
10251
 
< 0.1%
10501
 
< 0.1%
110013
 
< 0.1%
11251
 
< 0.1%
ValueCountFrequency (%)
400002066
2.7%
399752
 
< 0.1%
399251
 
< 0.1%
398251
 
< 0.1%
398001
 
< 0.1%

int_rate
Categorical

HIGH CARDINALITY

Distinct129
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size602.9 KiB
16.02%
 
5181
11.99%
 
4959
12.62%
 
4906
10.42%
 
4878
9.44%
 
4779
Other values (124)
52456 

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row15.05%
2nd row14.08%
3rd row14.08%
4th row19.03%
5th row8.90%
ValueCountFrequency (%)
16.02%5181
 
6.7%
11.99%4959
 
6.4%
12.62%4906
 
6.4%
10.42%4878
 
6.3%
9.44%4779
 
6.2%
15.05%4750
 
6.2%
14.08%4646
 
6.0%
9.93%4567
 
5.9%
13.59%4562
 
5.9%
10.91%3822
 
5.0%
Other values (119)30109
39.0%

term
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size602.9 KiB
36 months
52800 
60 months
24359 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row36 months
2nd row60 months
3rd row60 months
4th row36 months
5th row60 months
ValueCountFrequency (%)
36 months52800
68.4%
60 months24359
31.6%

installment
Real number (ℝ≥0)

Distinct10999
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443.0242911
Minimum7.61
Maximum1717.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:30.570496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7.61
5-th percentile100.54
Q1239.52
median368.9
Q3591.285
95-th percentile1024.16
Maximum1717.63
Range1710.02
Interquartile range (IQR)351.765

Descriptive statistics

Standard deviation279.9171459
Coefficient of variation (CV)0.6318325011
Kurtosis0.8158079631
Mean443.0242911
Median Absolute Deviation (MAD)162.46
Skewness1.068926214
Sum34183311.28
Variance78353.60859
MonotonicityNot monotonic
2021-05-11T22:21:30.678520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
324.65450
 
0.6%
320.05443
 
0.6%
332.1423
 
0.5%
335.12400
 
0.5%
326.97399
 
0.5%
322.35378
 
0.5%
339.79348
 
0.5%
313.23346
 
0.4%
166.05288
 
0.4%
163.49271
 
0.4%
Other values (10989)73413
95.1%
ValueCountFrequency (%)
7.611
 
< 0.1%
25.861
 
< 0.1%
29.831
 
< 0.1%
30.127
< 0.1%
30.463
< 0.1%
ValueCountFrequency (%)
1717.631
 
< 0.1%
1715.421
 
< 0.1%
1714.542
 
< 0.1%
1647.031
 
< 0.1%
1618.035
< 0.1%

grade
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size602.9 KiB
C
25152 
B
23274 
A
14308 
D
9711 
E
3176 
Other values (2)
 
1538

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowC
2nd rowC
3rd rowC
4th rowD
5th rowA
ValueCountFrequency (%)
C25152
32.6%
B23274
30.2%
A14308
18.5%
D9711
 
12.6%
E3176
 
4.1%
F912
 
1.2%
G626
 
0.8%

earliest_cr_line
Categorical

HIGH CARDINALITY

Distinct622
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size602.9 KiB
Sep-05
 
665
Aug-06
 
584
Aug-05
 
567
Sep-04
 
552
Aug-04
 
547
Other values (617)
74244 

Unique

Unique38 ?
Unique (%)< 0.1%

Sample

1st rowJan-01
2nd rowDec-00
3rd rowApr-86
4th rowFeb-90
5th rowMar-88
ValueCountFrequency (%)
Sep-05665
 
0.9%
Aug-06584
 
0.8%
Aug-05567
 
0.7%
Sep-04552
 
0.7%
Aug-04547
 
0.7%
Oct-05522
 
0.7%
Oct-04520
 
0.7%
Sep-06512
 
0.7%
Aug-07507
 
0.7%
Sep-03505
 
0.7%
Other values (612)71678
92.9%

issue_d
Categorical

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size602.9 KiB
01-08-2017
17934 
01-12-2017
17175 
01-09-2017
16811 
01-07-2017
15632 
01-11-2017
7112 
Other values (11)
2495 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01-08-2017
2nd row01-07-2017
3rd row01-07-2017
4th row01-08-2017
5th row01-08-2013
ValueCountFrequency (%)
01-08-201717934
23.2%
01-12-201717175
22.3%
01-09-201716811
21.8%
01-07-201715632
20.3%
01-11-20177112
 
9.2%
01-12-2013416
 
0.5%
01-10-2013380
 
0.5%
01-11-2013372
 
0.5%
01-09-2013343
 
0.4%
01-08-2013305
 
0.4%
Other values (6)679
 
0.9%

last_pymnt_d
Categorical

Distinct28
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size602.9 KiB
01-05-2020
32333 
01-08-2018
 
2482
01-10-2018
 
2369
01-07-2018
 
2193
01-09-2018
 
2142
Other values (23)
35640 

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row01-04-2020
2nd row01-06-2019
3rd row01-05-2020
4th row01-10-2019
5th row01-01-2019
ValueCountFrequency (%)
01-05-202032333
41.9%
01-08-20182482
 
3.2%
01-10-20182369
 
3.1%
01-07-20182193
 
2.8%
01-09-20182142
 
2.8%
01-06-20182140
 
2.8%
01-05-20182116
 
2.7%
01-11-20182060
 
2.7%
01-01-20192008
 
2.6%
01-02-20191998
 
2.6%
Other values (18)25318
32.8%

next_pymnt_d
Categorical

MISSING

Distinct9
Distinct (%)< 0.1%
Missing43903
Missing (%)56.9%
Memory size602.9 KiB
Jun-20
29658 
Jul-20
 
2319
Aug-20
 
944
Sep-20
 
208
May-20
 
116
Other values (4)
 
11

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowJun-20
2nd rowJun-20
3rd rowJun-20
4th rowJun-20
5th rowJun-20
ValueCountFrequency (%)
Jun-2029658
38.4%
Jul-202319
 
3.0%
Aug-20944
 
1.2%
Sep-20208
 
0.3%
May-20116
 
0.2%
Mar-204
 
< 0.1%
Apr-204
 
< 0.1%
Feb-202
 
< 0.1%
Oct-201
 
< 0.1%
(Missing)43903
56.9%

annual_inc
Real number (ℝ≥0)

SKEWED

Distinct6850
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78363.15519
Minimum0
Maximum10999200
Zeros107
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:31.458712image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26000
Q145000
median65000
Q394000
95-th percentile165524.9
Maximum10999200
Range10999200
Interquartile range (IQR)49000

Descriptive statistics

Standard deviation84925.48526
Coefficient of variation (CV)1.083742545
Kurtosis5619.594927
Mean78363.15519
Median Absolute Deviation (MAD)23000
Skewness55.06570769
Sum6046422691
Variance7212338047
MonotonicityNot monotonic
2021-05-11T22:21:31.573736image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600003109
 
4.0%
500002714
 
3.5%
650002242
 
2.9%
400002178
 
2.8%
700002156
 
2.8%
800002133
 
2.8%
750002083
 
2.7%
450001798
 
2.3%
550001681
 
2.2%
1000001604
 
2.1%
Other values (6840)55461
71.9%
ValueCountFrequency (%)
0107
0.1%
21
 
< 0.1%
161
 
< 0.1%
201
 
< 0.1%
661
 
< 0.1%
ValueCountFrequency (%)
109992001
< 0.1%
78453151
< 0.1%
70106001
< 0.1%
65000311
< 0.1%
42552621
< 0.1%

annual_inc_joint
Real number (ℝ≥0)

MISSING

Distinct2234
Distinct (%)23.8%
Missing67777
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean120030.0352
Minimum15801
Maximum1058000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:31.696765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15801
5-th percentile53000
Q183000
median109167
Q3143000
95-th percentile220000
Maximum1058000
Range1042199
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation60420.86499
Coefficient of variation (CV)0.5033812151
Kurtosis26.81608325
Mean120030.0352
Median Absolute Deviation (MAD)29167
Skewness3.243746746
Sum1126121791
Variance3650680926
MonotonicityNot monotonic
2021-05-11T22:21:31.818792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000176
 
0.2%
120000175
 
0.2%
90000161
 
0.2%
110000152
 
0.2%
130000150
 
0.2%
80000138
 
0.2%
150000131
 
0.2%
95000116
 
0.2%
115000113
 
0.1%
105000112
 
0.1%
Other values (2224)7958
 
10.3%
(Missing)67777
87.8%
ValueCountFrequency (%)
158011
< 0.1%
191041
< 0.1%
219531
< 0.1%
219921
< 0.1%
227001
< 0.1%
ValueCountFrequency (%)
10580001
< 0.1%
10500001
< 0.1%
9250001
< 0.1%
7600001
< 0.1%
7440001
< 0.1%

verification_status
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size602.9 KiB
Source Verified
28886 
Not Verified
28490 
Verified
19783 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVerified
2nd rowNot Verified
3rd rowVerified
4th rowSource Verified
5th rowVerified
ValueCountFrequency (%)
Source Verified28886
37.4%
Not Verified28490
36.9%
Verified19783
25.6%

verification_status_joint
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing67780
Missing (%)87.8%
Memory size602.9 KiB
Not Verified
4064 
Source Verified
3165 
Verified
2150 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVerified
2nd rowVerified
3rd rowSource Verified
4th rowNot Verified
5th rowSource Verified
ValueCountFrequency (%)
Not Verified4064
 
5.3%
Source Verified3165
 
4.1%
Verified2150
 
2.8%
(Missing)67780
87.8%

pymnt_plan
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size602.9 KiB
n
77159 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rown
2nd rown
3rd rown
4th rown
5th rown
ValueCountFrequency (%)
n77159
100.0%

purpose
Categorical

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size602.9 KiB
debt_consolidation
42980 
credit_card
15913 
other
5835 
home_improvement
5649 
major_purchase
 
1946
Other values (8)
4836 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowdebt_consolidation
2nd rowdebt_consolidation
3rd rowhome_improvement
4th rowdebt_consolidation
5th rowdebt_consolidation
ValueCountFrequency (%)
debt_consolidation42980
55.7%
credit_card15913
 
20.6%
other5835
 
7.6%
home_improvement5649
 
7.3%
major_purchase1946
 
2.5%
medical1155
 
1.5%
car926
 
1.2%
small_business879
 
1.1%
vacation640
 
0.8%
moving621
 
0.8%
Other values (3)615
 
0.8%

hardship_flag
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing1627
Missing (%)2.1%
Memory size602.9 KiB
N
71962 
Y
 
3570

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN
ValueCountFrequency (%)
N71962
93.3%
Y3570
 
4.6%
(Missing)1627
 
2.1%

hardship_reason
Categorical

MISSING

Distinct17
Distinct (%)0.4%
Missing72668
Missing (%)94.2%
Memory size602.9 KiB
INCOMECURT
2614 
UNEMPLOYED
524 
UNEMPLOYMENT
336 
INCOME_CURTAILMENT
 
258
REDCDHOURS
 
193
Other values (12)
566 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNATURAL_DISASTER
2nd rowINCOMECURT
3rd rowINCOMECURT
4th rowMEDICAL
5th rowINCOMECURT
ValueCountFrequency (%)
INCOMECURT2614
 
3.4%
UNEMPLOYED524
 
0.7%
UNEMPLOYMENT336
 
0.4%
INCOME_CURTAILMENT258
 
0.3%
REDCDHOURS193
 
0.3%
REDUCED_HOURS138
 
0.2%
MEDICAL132
 
0.2%
EXCESSIVE_OBLIGATIONS78
 
0.1%
FINANCIAL72
 
0.1%
EXCESSOBLI48
 
0.1%
Other values (7)98
 
0.1%
(Missing)72668
94.2%

hardship_type
Categorical

MISSING

Distinct6
Distinct (%)0.1%
Missing72668
Missing (%)94.2%
Memory size602.9 KiB
CVD19SKIP
3906 
INTEREST ONLY-3 MONTHS DEFERRAL
 
344
ST0650PV01
 
238
ST03INTV01
 
1
ST06RIV01
 
1

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st rowINTEREST ONLY-3 MONTHS DEFERRAL
2nd rowCVD19SKIP
3rd rowCVD19SKIP
4th rowCVD19SKIP
5th rowCVD19SKIP
ValueCountFrequency (%)
CVD19SKIP3906
 
5.1%
INTEREST ONLY-3 MONTHS DEFERRAL344
 
0.4%
ST0650PV01238
 
0.3%
ST03INTV011
 
< 0.1%
ST06RIV011
 
< 0.1%
CVD193MO1
 
< 0.1%
(Missing)72668
94.2%

hardship_status
Categorical

MISSING

Distinct4
Distinct (%)0.1%
Missing72668
Missing (%)94.2%
Memory size602.9 KiB
ACTIVE
3570 
COMPLETE
558 
COMPLETED
 
216
BROKEN
 
147

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCOMPLETED
2nd rowACTIVE
3rd rowACTIVE
4th rowACTIVE
5th rowACTIVE
ValueCountFrequency (%)
ACTIVE3570
 
4.6%
COMPLETE558
 
0.7%
COMPLETED216
 
0.3%
BROKEN147
 
0.2%
(Missing)72668
94.2%

payment_plan_start_date
Categorical

MISSING

Distinct36
Distinct (%)0.8%
Missing72668
Missing (%)94.2%
Memory size602.9 KiB
Apr-20
2392 
May-20
943 
Mar-20
364 
Jun-20
 
212
Nov-18
 
51
Other values (31)
529 

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st rowNov-17
2nd rowApr-20
3rd rowApr-20
4th rowApr-20
5th rowMay-20
ValueCountFrequency (%)
Apr-202392
 
3.1%
May-20943
 
1.2%
Mar-20364
 
0.5%
Jun-20212
 
0.3%
Nov-1851
 
0.1%
Oct-1847
 
0.1%
Dec-1840
 
0.1%
Feb-1933
 
< 0.1%
Sep-1830
 
< 0.1%
Aug-1830
 
< 0.1%
Other values (26)349
 
0.5%
(Missing)72668
94.2%

dti
Real number (ℝ≥0)

SKEWED

Distinct5506
Distinct (%)7.1%
Missing108
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean19.69070006
Minimum0
Maximum999
Zeros54
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:32.869031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.71
Q111.96
median18.08
Q325.01
95-th percentile34.76
Maximum999
Range999
Interquartile range (IQR)13.05

Descriptive statistics

Standard deviation21.58971523
Coefficient of variation (CV)1.096442238
Kurtosis1235.581415
Mean19.69070006
Median Absolute Deviation (MAD)6.47
Skewness29.31819624
Sum1517188.13
Variance466.1158036
MonotonicityNot monotonic
2021-05-11T22:21:32.978055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.462
 
0.1%
15.662
 
0.1%
10.857
 
0.1%
1255
 
0.1%
054
 
0.1%
15.5553
 
0.1%
11.0253
 
0.1%
13.251
 
0.1%
20.449
 
0.1%
19.449
 
0.1%
Other values (5496)76506
99.2%
(Missing)108
 
0.1%
ValueCountFrequency (%)
054
0.1%
0.012
 
< 0.1%
0.021
 
< 0.1%
0.033
 
< 0.1%
0.052
 
< 0.1%
ValueCountFrequency (%)
99918
< 0.1%
995.171
 
< 0.1%
991.571
 
< 0.1%
973.171
 
< 0.1%
751.221
 
< 0.1%

dti_joint
Real number (ℝ≥0)

MISSING

Distinct3013
Distinct (%)32.1%
Missing67777
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean19.61661586
Minimum0
Maximum39.97
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:33.093068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.58
Q114.03
median19.3
Q324.9175
95-th percentile32.97
Maximum39.97
Range39.97
Interquartile range (IQR)10.8875

Descriptive statistics

Standard deviation7.643524335
Coefficient of variation (CV)0.3896454103
Kurtosis-0.4821083814
Mean19.61661586
Median Absolute Deviation (MAD)5.43
Skewness0.1644931229
Sum184043.09
Variance58.42346426
MonotonicityNot monotonic
2021-05-11T22:21:33.207093image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.4112
 
< 0.1%
15.2712
 
< 0.1%
21.4211
 
< 0.1%
16.8510
 
< 0.1%
16.7310
 
< 0.1%
18.3410
 
< 0.1%
13.7810
 
< 0.1%
16.5610
 
< 0.1%
19.8410
 
< 0.1%
18.4210
 
< 0.1%
Other values (3003)9277
 
12.0%
(Missing)67777
87.8%
ValueCountFrequency (%)
01
< 0.1%
0.281
< 0.1%
0.31
< 0.1%
0.441
< 0.1%
0.641
< 0.1%
ValueCountFrequency (%)
39.971
< 0.1%
39.891
< 0.1%
39.861
< 0.1%
39.821
< 0.1%
39.771
< 0.1%

delinq_2yrs
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3210124548
Minimum0
Maximum36
Zeros62435
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:33.322119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9321011742
Coefficient of variation (CV)2.903629315
Kurtosis114.9761398
Mean0.3210124548
Median Absolute Deviation (MAD)0
Skewness7.251759549
Sum24769
Variance0.8688125989
MonotonicityNot monotonic
2021-05-11T22:21:33.414140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
062435
80.9%
19737
 
12.6%
22874
 
3.7%
31044
 
1.4%
4458
 
0.6%
5233
 
0.3%
6139
 
0.2%
781
 
0.1%
839
 
0.1%
933
 
< 0.1%
Other values (16)86
 
0.1%
ValueCountFrequency (%)
062435
80.9%
19737
 
12.6%
22874
 
3.7%
31044
 
1.4%
4458
 
0.6%
ValueCountFrequency (%)
361
< 0.1%
321
< 0.1%
261
< 0.1%
251
< 0.1%
241
< 0.1%

inq_fi
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing2495
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean0.9677086682
Minimum0
Maximum21
Zeros38035
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:33.638193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum21
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.431024176
Coefficient of variation (CV)1.478775816
Kurtosis11.15834445
Mean0.9677086682
Median Absolute Deviation (MAD)0
Skewness2.566314284
Sum72253
Variance2.047830192
MonotonicityNot monotonic
2021-05-11T22:21:33.728212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
038035
49.3%
119026
24.7%
29041
 
11.7%
34247
 
5.5%
42030
 
2.6%
51068
 
1.4%
6537
 
0.7%
7306
 
0.4%
8144
 
0.2%
992
 
0.1%
Other values (11)138
 
0.2%
(Missing)2495
 
3.2%
ValueCountFrequency (%)
038035
49.3%
119026
24.7%
29041
 
11.7%
34247
 
5.5%
42030
 
2.6%
ValueCountFrequency (%)
211
 
< 0.1%
201
 
< 0.1%
192
< 0.1%
182
< 0.1%
163
< 0.1%

inq_last_12m
Real number (ℝ≥0)

MISSING
ZEROS

Distinct29
Distinct (%)< 0.1%
Missing2495
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.943640844
Minimum0
Maximum35
Zeros21987
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:33.828234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum35
Range35
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.257942928
Coefficient of variation (CV)1.161707902
Kurtosis8.735055558
Mean1.943640844
Median Absolute Deviation (MAD)1
Skewness2.235576394
Sum145120
Variance5.098306265
MonotonicityNot monotonic
2021-05-11T22:21:33.927257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
021987
28.5%
118629
24.1%
212560
16.3%
38202
 
10.6%
45020
 
6.5%
53054
 
4.0%
61854
 
2.4%
71157
 
1.5%
8751
 
1.0%
9483
 
0.6%
Other values (19)967
 
1.3%
(Missing)2495
 
3.2%
ValueCountFrequency (%)
021987
28.5%
118629
24.1%
212560
16.3%
38202
 
10.6%
45020
 
6.5%
ValueCountFrequency (%)
351
< 0.1%
301
< 0.1%
261
< 0.1%
251
< 0.1%
241
< 0.1%

inq_last_6mths
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4976347542
Minimum0
Maximum6
Zeros49790
Zeros (%)64.5%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:34.027287image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7929884549
Coefficient of variation (CV)1.593515019
Kurtosis3.83969765
Mean0.4976347542
Median Absolute Deviation (MAD)0
Skewness1.839766449
Sum38397
Variance0.6288306895
MonotonicityNot monotonic
2021-05-11T22:21:34.100295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
049790
64.5%
119200
 
24.9%
25916
 
7.7%
31766
 
2.3%
4371
 
0.5%
5113
 
0.1%
63
 
< 0.1%
ValueCountFrequency (%)
049790
64.5%
119200
 
24.9%
25916
 
7.7%
31766
 
2.3%
4371
 
0.5%
ValueCountFrequency (%)
63
 
< 0.1%
5113
 
0.1%
4371
 
0.5%
31766
 
2.3%
25916
7.7%

fico_range_low
Real number (ℝ≥0)

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean701.7862466
Minimum660
Maximum845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:34.196317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum660
5-th percentile660
Q1675
median695
Q3720
95-th percentile770
Maximum845
Range185
Interquartile range (IQR)45

Descriptive statistics

Standard deviation34.73033529
Coefficient of variation (CV)0.04948848094
Kurtosis0.8940433679
Mean701.7862466
Median Absolute Deviation (MAD)20
Skewness1.075850542
Sum54149125
Variance1206.196189
MonotonicityNot monotonic
2021-05-11T22:21:34.297340image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6606038
 
7.8%
6655731
 
7.4%
6705489
 
7.1%
6805339
 
6.9%
6755035
 
6.5%
6854783
 
6.2%
6904745
 
6.1%
7004224
 
5.5%
6954150
 
5.4%
7053903
 
5.1%
Other values (28)27722
35.9%
ValueCountFrequency (%)
6606038
7.8%
6655731
7.4%
6705489
7.1%
6755035
6.5%
6805339
6.9%
ValueCountFrequency (%)
84524
 
< 0.1%
84027
 
< 0.1%
83536
< 0.1%
83071
0.1%
82587
0.1%

fico_range_high
Real number (ℝ≥0)

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean705.7865576
Minimum664
Maximum850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:34.410366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum664
5-th percentile664
Q1679
median699
Q3724
95-th percentile774
Maximum850
Range186
Interquartile range (IQR)45

Descriptive statistics

Standard deviation34.73162238
Coefficient of variation (CV)0.04920980998
Kurtosis0.895965791
Mean705.7865576
Median Absolute Deviation (MAD)20
Skewness1.076164101
Sum54457785
Variance1206.285593
MonotonicityNot monotonic
2021-05-11T22:21:34.516390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6646038
 
7.8%
6695731
 
7.4%
6745489
 
7.1%
6845339
 
6.9%
6795035
 
6.5%
6894783
 
6.2%
6944745
 
6.1%
7044224
 
5.5%
6994150
 
5.4%
7093903
 
5.1%
Other values (28)27722
35.9%
ValueCountFrequency (%)
6646038
7.8%
6695731
7.4%
6745489
7.1%
6795035
6.5%
6845339
6.9%
ValueCountFrequency (%)
85024
 
< 0.1%
84427
 
< 0.1%
83936
< 0.1%
83471
0.1%
82987
0.1%

last_fico_range_high
Real number (ℝ≥0)

Distinct72
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean689.3042549
Minimum0
Maximum850
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:34.637432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile534
Q1654
median699
Q3739
95-th percentile799
Maximum850
Range850
Interquartile range (IQR)85

Descriptive statistics

Standard deviation75.78965337
Coefficient of variation (CV)0.1099509438
Kurtosis0.1620809328
Mean689.3042549
Median Absolute Deviation (MAD)45
Skewness-0.6828818842
Sum53186027
Variance5744.071559
MonotonicityNot monotonic
2021-05-11T22:21:34.741455image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6942683
 
3.5%
6992666
 
3.5%
7092659
 
3.4%
7192645
 
3.4%
7042639
 
3.4%
7142563
 
3.3%
7242534
 
3.3%
6842459
 
3.2%
6892366
 
3.1%
7292318
 
3.0%
Other values (62)51627
66.9%
ValueCountFrequency (%)
02
 
< 0.1%
4991349
1.7%
504290
 
0.4%
509364
 
0.5%
514356
 
0.5%
ValueCountFrequency (%)
85019
 
< 0.1%
84455
 
0.1%
83989
 
0.1%
834155
0.2%
829271
0.4%

last_fico_range_low
Real number (ℝ≥0)

ZEROS

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean676.6498399
Minimum0
Maximum845
Zeros1351
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:34.850479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile530
Q1650
median695
Q3735
95-th percentile795
Maximum845
Range845
Interquartile range (IQR)85

Descriptive statistics

Standard deviation115.0947566
Coefficient of variation (CV)0.170095003
Kurtosis18.3293777
Mean676.6498399
Median Absolute Deviation (MAD)45
Skewness-3.580702551
Sum52209625
Variance13246.80299
MonotonicityNot monotonic
2021-05-11T22:21:34.952502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6902683
 
3.5%
6952666
 
3.5%
7052659
 
3.4%
7152645
 
3.4%
7002639
 
3.4%
7102563
 
3.3%
7202534
 
3.3%
6802459
 
3.2%
6852366
 
3.1%
7252318
 
3.0%
Other values (61)51627
66.9%
ValueCountFrequency (%)
01351
1.8%
500290
 
0.4%
505364
 
0.5%
510356
 
0.5%
515389
 
0.5%
ValueCountFrequency (%)
84519
 
< 0.1%
84055
 
0.1%
83589
 
0.1%
830155
0.2%
825271
0.4%

mort_acc
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.368122967
Minimum0
Maximum94
Zeros34707
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:35.048524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum94
Range94
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.759039542
Coefficient of variation (CV)1.285732046
Kurtosis106.0271973
Mean1.368122967
Median Absolute Deviation (MAD)1
Skewness3.542843814
Sum105563
Variance3.09422011
MonotonicityNot monotonic
2021-05-11T22:21:35.135544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
034707
45.0%
114258
18.5%
211459
 
14.9%
37605
 
9.9%
44528
 
5.9%
52392
 
3.1%
61191
 
1.5%
7508
 
0.7%
8231
 
0.3%
9143
 
0.2%
Other values (10)137
 
0.2%
ValueCountFrequency (%)
034707
45.0%
114258
18.5%
211459
 
14.9%
37605
 
9.9%
44528
 
5.9%
ValueCountFrequency (%)
941
 
< 0.1%
411
 
< 0.1%
182
< 0.1%
164
< 0.1%
154
< 0.1%

open_acc
Real number (ℝ≥0)

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.46964061
Minimum0
Maximum74
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:35.238567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median10
Q314
95-th percentile22
Maximum74
Range74
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.757780294
Coefficient of variation (CV)0.5020018054
Kurtosis3.107726749
Mean11.46964061
Median Absolute Deviation (MAD)3
Skewness1.292218375
Sum884986
Variance33.15203392
MonotonicityNot monotonic
2021-05-11T22:21:35.345592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96622
 
8.6%
86294
 
8.2%
106178
 
8.0%
75983
 
7.8%
115855
 
7.6%
65199
 
6.7%
125120
 
6.6%
134549
 
5.9%
54042
 
5.2%
143855
 
5.0%
Other values (50)23462
30.4%
ValueCountFrequency (%)
06
 
< 0.1%
1102
 
0.1%
2524
 
0.7%
31409
1.8%
42687
3.5%
ValueCountFrequency (%)
741
< 0.1%
641
< 0.1%
601
< 0.1%
562
< 0.1%
552
< 0.1%

open_acc_6m
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing2495
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean0.8762321869
Minimum0
Maximum10
Zeros34959
Zeros (%)45.3%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:35.449601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.088759173
Coefficient of variation (CV)1.242546427
Kurtosis3.915071633
Mean0.8762321869
Median Absolute Deviation (MAD)1
Skewness1.645139128
Sum65423
Variance1.185396537
MonotonicityNot monotonic
2021-05-11T22:21:35.537621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
034959
45.3%
123336
30.2%
210330
 
13.4%
33894
 
5.0%
41413
 
1.8%
5445
 
0.6%
6195
 
0.3%
760
 
0.1%
817
 
< 0.1%
98
 
< 0.1%
(Missing)2495
 
3.2%
ValueCountFrequency (%)
034959
45.3%
123336
30.2%
210330
 
13.4%
33894
 
5.0%
41413
 
1.8%
ValueCountFrequency (%)
107
 
< 0.1%
98
 
< 0.1%
817
 
< 0.1%
760
 
0.1%
6195
0.3%

acc_open_past_24mths
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.362809264
Minimum0
Maximum35
Zeros3830
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:35.634644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile10
Maximum35
Range35
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.106742824
Coefficient of variation (CV)0.7120968706
Kurtosis3.787244279
Mean4.362809264
Median Absolute Deviation (MAD)2
Skewness1.387732344
Sum336630
Variance9.651850974
MonotonicityNot monotonic
2021-05-11T22:21:35.732666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
311922
15.5%
211176
14.5%
410764
14.0%
58724
11.3%
18391
10.9%
66691
8.7%
74929
6.4%
03830
 
5.0%
83423
 
4.4%
92351
 
3.0%
Other values (25)4958
6.4%
ValueCountFrequency (%)
03830
 
5.0%
18391
10.9%
211176
14.5%
311922
15.5%
410764
14.0%
ValueCountFrequency (%)
351
 
< 0.1%
332
 
< 0.1%
321
 
< 0.1%
311
 
< 0.1%
306
< 0.1%

pub_rec
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1715807618
Minimum0
Maximum44
Zeros65802
Zeros (%)85.3%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:35.836689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum44
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5119358969
Coefficient of variation (CV)2.983643921
Kurtosis927.4520554
Mean0.1715807618
Median Absolute Deviation (MAD)0
Skewness15.17631741
Sum13239
Variance0.2620783625
MonotonicityNot monotonic
2021-05-11T22:21:35.918709image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
065802
85.3%
110226
 
13.3%
2758
 
1.0%
3227
 
0.3%
478
 
0.1%
526
 
< 0.1%
620
 
< 0.1%
89
 
< 0.1%
98
 
< 0.1%
441
 
< 0.1%
Other values (4)4
 
< 0.1%
ValueCountFrequency (%)
065802
85.3%
110226
 
13.3%
2758
 
1.0%
3227
 
0.3%
478
 
0.1%
ValueCountFrequency (%)
441
< 0.1%
321
< 0.1%
131
< 0.1%
111
< 0.1%
101
< 0.1%

total_acc
Real number (ℝ≥0)

Distinct101
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.80147488
Minimum2
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:36.170765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q114
median21
Q329
95-th percentile45
Maximum136
Range134
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.77215886
Coefficient of variation (CV)0.5162893595
Kurtosis2.147906354
Mean22.80147488
Median Absolute Deviation (MAD)7
Skewness1.105901904
Sum1759339
Variance138.5837242
MonotonicityNot monotonic
2021-05-11T22:21:36.285792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
182988
 
3.9%
162949
 
3.8%
152897
 
3.8%
172897
 
3.8%
142859
 
3.7%
212810
 
3.6%
192809
 
3.6%
202795
 
3.6%
132749
 
3.6%
222734
 
3.5%
Other values (91)48672
63.1%
ValueCountFrequency (%)
271
 
0.1%
3228
 
0.3%
4507
0.7%
5729
0.9%
61091
1.4%
ValueCountFrequency (%)
1361
< 0.1%
1271
< 0.1%
1121
< 0.1%
1091
< 0.1%
992
< 0.1%

initial_list_status
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size602.9 KiB
w
61477 
f
15682 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st roww
2nd roww
3rd roww
4th roww
5th roww
ValueCountFrequency (%)
w61477
79.7%
f15682
 
20.3%

out_prncp
Real number (ℝ≥0)

ZEROS

Distinct23219
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2378.177021
Minimum0
Maximum29075.05
Zeros44425
Zeros (%)57.6%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:36.489838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31865.49
95-th percentile13971.527
Maximum29075.05
Range29075.05
Interquartile range (IQR)1865.49

Descriptive statistics

Standard deviation4784.58807
Coefficient of variation (CV)2.01187213
Kurtosis5.595032701
Mean2378.177021
Median Absolute Deviation (MAD)0
Skewness2.449591759
Sum183497760.8
Variance22892283
MonotonicityNot monotonic
2021-05-11T22:21:36.592869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
044425
57.6%
2089.2632
 
< 0.1%
2171.4528
 
< 0.1%
957.1728
 
< 0.1%
2135.3223
 
< 0.1%
1255.3823
 
< 0.1%
1262.8921
 
< 0.1%
1255.3720
 
< 0.1%
1052.3919
 
< 0.1%
2207.4219
 
< 0.1%
Other values (23209)32521
42.1%
ValueCountFrequency (%)
044425
57.6%
0.0110
 
< 0.1%
0.951
 
< 0.1%
10.241
 
< 0.1%
10.651
 
< 0.1%
ValueCountFrequency (%)
29075.051
< 0.1%
29039.441
< 0.1%
28888.841
< 0.1%
27703.151
< 0.1%
27655.311
< 0.1%

out_prncp_inv
Real number (ℝ≥0)

ZEROS

Distinct23642
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2377.853405
Minimum0
Maximum29075.05
Zeros44425
Zeros (%)57.6%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:36.708888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31863.815
95-th percentile13971.527
Maximum29075.05
Range29075.05
Interquartile range (IQR)1863.815

Descriptive statistics

Standard deviation4784.478934
Coefficient of variation (CV)2.012100041
Kurtosis5.596218949
Mean2377.853405
Median Absolute Deviation (MAD)0
Skewness2.449854964
Sum183472790.8
Variance22891238.67
MonotonicityNot monotonic
2021-05-11T22:21:36.811918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
044425
57.6%
957.1728
 
< 0.1%
2089.2626
 
< 0.1%
2171.4524
 
< 0.1%
2135.3223
 
< 0.1%
1255.3823
 
< 0.1%
1262.8921
 
< 0.1%
5535.4919
 
< 0.1%
1255.3719
 
< 0.1%
1052.3919
 
< 0.1%
Other values (23632)32532
42.2%
ValueCountFrequency (%)
044425
57.6%
0.0110
 
< 0.1%
0.951
 
< 0.1%
10.241
 
< 0.1%
10.651
 
< 0.1%
ValueCountFrequency (%)
29075.051
< 0.1%
29039.441
< 0.1%
28888.841
< 0.1%
27703.151
< 0.1%
27655.311
< 0.1%

total_pymnt
Real number (ℝ≥0)

Distinct67404
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14781.44988
Minimum255.56
Maximum67130.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:36.930951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum255.56
5-th percentile2969.508
Q17068.769673
median11827.81583
Q319882.555
95-th percentile36730.95826
Maximum67130.85
Range66875.29
Interquartile range (IQR)12813.78533

Descriptive statistics

Standard deviation10340.56827
Coefficient of variation (CV)0.6995638691
Kurtosis1.231856515
Mean14781.44988
Median Absolute Deviation (MAD)5767.6895
Skewness1.211650231
Sum1140521891
Variance106927352.1
MonotonicityNot monotonic
2021-05-11T22:21:37.036969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8913.7725
 
< 0.1%
11051.9525
 
< 0.1%
8829.7323
 
< 0.1%
10236.3621
 
< 0.1%
10707.6621
 
< 0.1%
10231.1120
 
< 0.1%
10332.1620
 
< 0.1%
10783.9520
 
< 0.1%
10383.0119
 
< 0.1%
9276.2119
 
< 0.1%
Other values (67394)76946
99.7%
ValueCountFrequency (%)
255.561
< 0.1%
275.431
< 0.1%
335.711
< 0.1%
365.211
< 0.1%
371.791
< 0.1%
ValueCountFrequency (%)
67130.851
< 0.1%
62884.797381
< 0.1%
62862.506731
< 0.1%
62760.913881
< 0.1%
62738.204341
< 0.1%

total_pymnt_inv
Real number (ℝ≥0)

Distinct67300
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14776.45703
Minimum255.56
Maximum67130.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:37.159004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum255.56
5-th percentile2967.544
Q17066.28
median11825.09
Q319872.58
95-th percentile36722.688
Maximum67130.85
Range66875.29
Interquartile range (IQR)12806.3

Descriptive statistics

Standard deviation10337.52322
Coefficient of variation (CV)0.6995941722
Kurtosis1.231965792
Mean14776.45703
Median Absolute Deviation (MAD)5766.85
Skewness1.211668264
Sum1140136648
Variance106864386.3
MonotonicityNot monotonic
2021-05-11T22:21:37.264020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11051.9525
 
< 0.1%
8913.7722
 
< 0.1%
10707.6621
 
< 0.1%
10236.3621
 
< 0.1%
10332.1620
 
< 0.1%
10783.9519
 
< 0.1%
10231.1119
 
< 0.1%
5392.1418
 
< 0.1%
10383.0118
 
< 0.1%
9276.2118
 
< 0.1%
Other values (67290)76958
99.7%
ValueCountFrequency (%)
255.561
< 0.1%
275.431
< 0.1%
335.711
< 0.1%
365.211
< 0.1%
371.791
< 0.1%
ValueCountFrequency (%)
67130.851
< 0.1%
62862.511
< 0.1%
62839.881
< 0.1%
62760.911
< 0.1%
62693.391
< 0.1%

total_rec_prncp
Real number (ℝ≥0)

Distinct33349
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11370.72871
Minimum0
Maximum40000
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:37.385054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2000
Q15000
median9015.76
Q315000
95-th percentile30000
Maximum40000
Range40000
Interquartile range (IQR)10000

Descriptive statistics

Standard deviation8469.378176
Coefficient of variation (CV)0.7448404046
Kurtosis1.262524012
Mean11370.72871
Median Absolute Deviation (MAD)4513.89
Skewness1.284786791
Sum877354056.8
Variance71730366.68
MonotonicityNot monotonic
2021-05-11T22:21:37.495073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100003142
 
4.1%
200001919
 
2.5%
120001894
 
2.5%
150001867
 
2.4%
50001547
 
2.0%
80001291
 
1.7%
60001289
 
1.7%
160001082
 
1.4%
350001030
 
1.3%
25000960
 
1.2%
Other values (33339)61138
79.2%
ValueCountFrequency (%)
01
< 0.1%
122.481
< 0.1%
143.11
< 0.1%
164.561
< 0.1%
180.551
< 0.1%
ValueCountFrequency (%)
40000727
0.9%
399751
 
< 0.1%
39972.291
 
< 0.1%
39851.141
 
< 0.1%
398251
 
< 0.1%

total_rec_int
Real number (ℝ≥0)

Distinct67295
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3248.986109
Minimum19.7
Maximum29566.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:37.620107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum19.7
5-th percentile370.545
Q11010.315
median2090.64
Q34370.36
95-th percentile9824.797
Maximum29566.46
Range29546.76
Interquartile range (IQR)3360.045

Descriptive statistics

Standard deviation3297.565804
Coefficient of variation (CV)1.014952263
Kurtosis7.126547491
Mean3248.986109
Median Absolute Deviation (MAD)1329.39
Skewness2.237750531
Sum250688519.2
Variance10873940.23
MonotonicityNot monotonic
2021-05-11T22:21:37.726118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
918.9921
 
< 0.1%
1664.8317
 
< 0.1%
1486.4917
 
< 0.1%
1447.6614
 
< 0.1%
1491.7314
 
< 0.1%
1858.5613
 
< 0.1%
1653.7912
 
< 0.1%
5973.7511
 
< 0.1%
1567.0611
 
< 0.1%
986.6111
 
< 0.1%
Other values (67285)77018
99.8%
ValueCountFrequency (%)
19.71
< 0.1%
25.621
< 0.1%
28.521
< 0.1%
30.421
< 0.1%
30.481
< 0.1%
ValueCountFrequency (%)
29566.461
< 0.1%
29390.541
< 0.1%
29146.151
< 0.1%
28421.141
< 0.1%
27937.041
< 0.1%

total_rec_late_fee
Real number (ℝ≥0)

ZEROS

Distinct1926
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.114223746
Minimum0
Maximum947.24
Zeros72155
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:37.844159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15.29400002
Maximum947.24
Range947.24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.569433
Coefficient of variation (CV)6.283887927
Kurtosis383.565253
Mean3.114223746
Median Absolute Deviation (MAD)0
Skewness15.25638693
Sum240290.39
Variance382.962708
MonotonicityNot monotonic
2021-05-11T22:21:37.952176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
072155
93.5%
151082
 
1.4%
30284
 
0.4%
45108
 
0.1%
6050
 
0.1%
7531
 
< 0.1%
16.6121
 
< 0.1%
16.9921
 
< 0.1%
16.7619
 
< 0.1%
16.2318
 
< 0.1%
Other values (1916)3370
 
4.4%
ValueCountFrequency (%)
072155
93.5%
22
 
< 0.1%
12.211
 
< 0.1%
141
 
< 0.1%
151082
 
1.4%
ValueCountFrequency (%)
947.241
< 0.1%
877.051
< 0.1%
782.181
< 0.1%
707.90000061
< 0.1%
664.161
< 0.1%

total_cu_tl
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)< 0.1%
Missing2495
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.382540448
Minimum0
Maximum39
Zeros41321
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:38.060201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum39
Range39
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.543909766
Coefficient of variation (CV)1.840025563
Kurtosis18.42249902
Mean1.382540448
Median Absolute Deviation (MAD)0
Skewness3.449122646
Sum103226
Variance6.471476899
MonotonicityNot monotonic
2021-05-11T22:21:38.160230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
041321
53.6%
112703
 
16.5%
26873
 
8.9%
34285
 
5.6%
42762
 
3.6%
51847
 
2.4%
61300
 
1.7%
7943
 
1.2%
8672
 
0.9%
9513
 
0.7%
Other values (26)1445
 
1.9%
(Missing)2495
 
3.2%
ValueCountFrequency (%)
041321
53.6%
112703
 
16.5%
26873
 
8.9%
34285
 
5.6%
42762
 
3.6%
ValueCountFrequency (%)
391
< 0.1%
362
< 0.1%
352
< 0.1%
341
< 0.1%
322
< 0.1%

tot_coll_amt
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct3238
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.6826164
Minimum0
Maximum188066
Zeros64954
Zeros (%)84.2%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:38.279257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile803
Maximum188066
Range188066
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1578.395291
Coefficient of variation (CV)7.673936272
Kurtosis3268.30405
Mean205.6826164
Median Absolute Deviation (MAD)0
Skewness39.7144788
Sum15870265
Variance2491331.693
MonotonicityNot monotonic
2021-05-11T22:21:38.388275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
064954
84.2%
50137
 
0.2%
10093
 
0.1%
7575
 
0.1%
20073
 
0.1%
15067
 
0.1%
6059
 
0.1%
8054
 
0.1%
7051
 
0.1%
9050
 
0.1%
Other values (3228)11546
 
15.0%
ValueCountFrequency (%)
064954
84.2%
21
 
< 0.1%
51
 
< 0.1%
101
 
< 0.1%
111
 
< 0.1%
ValueCountFrequency (%)
1880661
< 0.1%
1019361
< 0.1%
839471
< 0.1%
826721
< 0.1%
596671
< 0.1%

tot_cur_bal
Real number (ℝ≥0)

Distinct65932
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141933.8697
Minimum0
Maximum3554528
Zeros45
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:38.520298image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7380
Q127951
median76027
Q3213865.5
95-th percentile446071.4
Maximum3554528
Range3554528
Interquartile range (IQR)185914.5

Descriptive statistics

Standard deviation161729.885
Coefficient of variation (CV)1.139473512
Kurtosis16.52615948
Mean141933.8697
Median Absolute Deviation (MAD)61152
Skewness2.612935935
Sum1.095147545 × 1010
Variance2.615655569 × 1010
MonotonicityNot monotonic
2021-05-11T22:21:38.633323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
045
 
0.1%
202716
 
< 0.1%
188446
 
< 0.1%
275596
 
< 0.1%
151366
 
< 0.1%
35536
 
< 0.1%
141556
 
< 0.1%
129636
 
< 0.1%
76216
 
< 0.1%
248865
 
< 0.1%
Other values (65922)77061
99.9%
ValueCountFrequency (%)
045
0.1%
31
 
< 0.1%
42
 
< 0.1%
81
 
< 0.1%
113
 
< 0.1%
ValueCountFrequency (%)
35545281
< 0.1%
34308411
< 0.1%
27218271
< 0.1%
24657681
< 0.1%
22898221
< 0.1%

total_bal_il
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45617
Distinct (%)61.1%
Missing2495
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean35494.79575
Minimum0
Maximum827988
Zeros8384
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:38.764353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18476
median22889
Q345805
95-th percentile114366.55
Maximum827988
Range827988
Interquartile range (IQR)37329

Descriptive statistics

Standard deviation44426.58065
Coefficient of variation (CV)1.251636464
Kurtosis22.2731789
Mean35494.79575
Median Absolute Deviation (MAD)16997.5
Skewness3.551519658
Sum2650183430
Variance1973721068
MonotonicityNot monotonic
2021-05-11T22:21:39.076424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08384
 
10.9%
147928
 
< 0.1%
52948
 
< 0.1%
237958
 
< 0.1%
104108
 
< 0.1%
100008
 
< 0.1%
232647
 
< 0.1%
60007
 
< 0.1%
133587
 
< 0.1%
200007
 
< 0.1%
Other values (45607)66212
85.8%
(Missing)2495
 
3.2%
ValueCountFrequency (%)
08384
10.9%
12
 
< 0.1%
21
 
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
8279881
< 0.1%
7335651
< 0.1%
6922771
< 0.1%
6730581
< 0.1%
6125541
< 0.1%

total_rev_hi_lim
Real number (ℝ≥0)

Distinct4033
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35074.08959
Minimum0
Maximum1417100
Zeros89
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:39.186448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5500
Q114500
median25900
Q344100
95-th percentile92800
Maximum1417100
Range1417100
Interquartile range (IQR)29600

Descriptive statistics

Standard deviation35239.60673
Coefficient of variation (CV)1.004719072
Kurtosis73.17492709
Mean35074.08959
Median Absolute Deviation (MAD)13400
Skewness5.20632125
Sum2706281679
Variance1241829883
MonotonicityNot monotonic
2021-05-11T22:21:39.299474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11000266
 
0.3%
10000257
 
0.3%
12500251
 
0.3%
13000237
 
0.3%
14500236
 
0.3%
11500236
 
0.3%
9000234
 
0.3%
12000234
 
0.3%
8500233
 
0.3%
8000229
 
0.3%
Other values (4023)74746
96.9%
ValueCountFrequency (%)
089
0.1%
2005
 
< 0.1%
30021
 
< 0.1%
4007
 
< 0.1%
50044
0.1%
ValueCountFrequency (%)
14171001
< 0.1%
7416001
< 0.1%
7251001
< 0.1%
6763001
< 0.1%
6671001
< 0.1%

tot_hi_cred_lim
Real number (ℝ≥0)

Distinct62193
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180055.6981
Minimum0
Maximum9999999
Zeros7
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:39.433504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18713.7
Q151200
median113063
Q3260709.5
95-th percentile520102.6
Maximum9999999
Range9999999
Interquartile range (IQR)209509.5

Descriptive statistics

Standard deviation186024.9284
Coefficient of variation (CV)1.033152133
Kurtosis116.4759464
Mean180055.6981
Median Absolute Deviation (MAD)78068
Skewness4.395549425
Sum1.389291761 × 1010
Variance3.4605274 × 1010
MonotonicityNot monotonic
2021-05-11T22:21:39.550531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1150037
 
< 0.1%
1900035
 
< 0.1%
2030031
 
< 0.1%
1070031
 
< 0.1%
1330031
 
< 0.1%
900030
 
< 0.1%
850030
 
< 0.1%
1100030
 
< 0.1%
1670028
 
< 0.1%
1950027
 
< 0.1%
Other values (62183)76849
99.6%
ValueCountFrequency (%)
07
< 0.1%
2002
 
< 0.1%
3003
< 0.1%
5007
< 0.1%
6002
 
< 0.1%
ValueCountFrequency (%)
99999991
< 0.1%
40143171
< 0.1%
37296771
< 0.1%
32137291
< 0.1%
30875871
< 0.1%

total_bal_ex_mort
Real number (ℝ≥0)

Distinct55028
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51530.11973
Minimum0
Maximum912795
Zeros60
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:39.669558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5860.9
Q120370
median37631
Q365111.5
95-th percentile143118
Maximum912795
Range912795
Interquartile range (IQR)44741.5

Descriptive statistics

Standard deviation51303.24687
Coefficient of variation (CV)0.9955972768
Kurtosis21.45854348
Mean51530.11973
Median Absolute Deviation (MAD)20365
Skewness3.389038094
Sum3976012508
Variance2632023139
MonotonicityNot monotonic
2021-05-11T22:21:39.781583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
060
 
0.1%
163617
 
< 0.1%
194227
 
< 0.1%
265277
 
< 0.1%
360717
 
< 0.1%
161937
 
< 0.1%
310207
 
< 0.1%
129637
 
< 0.1%
171487
 
< 0.1%
161767
 
< 0.1%
Other values (55018)77036
99.8%
ValueCountFrequency (%)
060
0.1%
12
 
< 0.1%
21
 
< 0.1%
31
 
< 0.1%
42
 
< 0.1%
ValueCountFrequency (%)
9127951
< 0.1%
8978351
< 0.1%
8668331
< 0.1%
8044411
< 0.1%
7851471
< 0.1%

total_bc_limit
Real number (ℝ≥0)

ZEROS

Distinct2596
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24192.26444
Minimum0
Maximum711400
Zeros1119
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:39.895609image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2100
Q18500
median17200
Q331600
95-th percentile70000
Maximum711400
Range711400
Interquartile range (IQR)23100

Descriptive statistics

Standard deviation24153.32399
Coefficient of variation (CV)0.9983903759
Kurtosis21.7007452
Mean24192.26444
Median Absolute Deviation (MAD)10200
Skewness2.950380169
Sum1866650932
Variance583383059.7
MonotonicityNot monotonic
2021-05-11T22:21:40.004634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01119
 
1.5%
5000545
 
0.7%
10000537
 
0.7%
6000519
 
0.7%
7000499
 
0.6%
3000493
 
0.6%
8000481
 
0.6%
4000474
 
0.6%
6500451
 
0.6%
2000447
 
0.6%
Other values (2586)71594
92.8%
ValueCountFrequency (%)
01119
1.5%
20012
 
< 0.1%
300100
 
0.1%
40020
 
< 0.1%
4501
 
< 0.1%
ValueCountFrequency (%)
7114001
< 0.1%
4311001
< 0.1%
4061001
< 0.1%
3966001
< 0.1%
3325001
< 0.1%

total_il_high_credit_limit
Real number (ℝ≥0)

ZEROS

Distinct46393
Distinct (%)60.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45627.69934
Minimum0
Maximum1310923
Zeros8759
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:40.126663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115789.5
median34118
Q361164.5
95-th percentile131219
Maximum1310923
Range1310923
Interquartile range (IQR)45375

Descriptive statistics

Standard deviation46748.90638
Coefficient of variation (CV)1.024572947
Kurtosis21.74917949
Mean45627.69934
Median Absolute Deviation (MAD)21350
Skewness2.965208143
Sum3520587653
Variance2185460248
MonotonicityNot monotonic
2021-05-11T22:21:40.249689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08759
 
11.4%
10000511
 
0.7%
15000378
 
0.5%
20000348
 
0.5%
5000329
 
0.4%
12000256
 
0.3%
25000232
 
0.3%
8000230
 
0.3%
6000198
 
0.3%
35000137
 
0.2%
Other values (46383)65781
85.3%
ValueCountFrequency (%)
08759
11.4%
2001
 
< 0.1%
3111
 
< 0.1%
3941
 
< 0.1%
4021
 
< 0.1%
ValueCountFrequency (%)
13109231
< 0.1%
9110531
< 0.1%
7982801
< 0.1%
7510101
< 0.1%
6675371
< 0.1%

mths_since_last_record
Real number (ℝ≥0)

MISSING

Distinct122
Distinct (%)1.1%
Missing65802
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean76.76349388
Minimum0
Maximum121
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:40.369717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q161
median80
Q396
95-th percentile112
Maximum121
Range121
Interquartile range (IQR)35

Descriptive statistics

Standard deviation24.74670689
Coefficient of variation (CV)0.3223759842
Kurtosis-0.1264157866
Mean76.76349388
Median Absolute Deviation (MAD)17
Skewness-0.6222062288
Sum871803
Variance612.399502
MonotonicityNot monotonic
2021-05-11T22:21:40.486743image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88223
 
0.3%
87217
 
0.3%
84209
 
0.3%
85200
 
0.3%
80198
 
0.3%
90193
 
0.3%
89191
 
0.2%
82190
 
0.2%
100189
 
0.2%
96185
 
0.2%
Other values (112)9362
 
12.1%
(Missing)65802
85.3%
ValueCountFrequency (%)
02
 
< 0.1%
11
 
< 0.1%
24
 
< 0.1%
311
< 0.1%
47
< 0.1%
ValueCountFrequency (%)
1211
 
< 0.1%
1201
 
< 0.1%
11915
 
< 0.1%
11857
0.1%
11769
0.1%

mths_since_last_major_derog
Real number (ℝ≥0)

MISSING

Distinct136
Distinct (%)0.7%
Missing57285
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean43.97599879
Minimum0
Maximum177
Zeros9
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:40.602769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q127
median44
Q361
95-th percentile78
Maximum177
Range177
Interquartile range (IQR)34

Descriptive statistics

Standard deviation21.8618066
Coefficient of variation (CV)0.4971304165
Kurtosis-0.4417200591
Mean43.97599879
Median Absolute Deviation (MAD)17
Skewness0.1624794266
Sum873979
Variance477.9385876
MonotonicityNot monotonic
2021-05-11T22:21:40.711794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43360
 
0.5%
47342
 
0.4%
44333
 
0.4%
29325
 
0.4%
36322
 
0.4%
30322
 
0.4%
42321
 
0.4%
46317
 
0.4%
35314
 
0.4%
48312
 
0.4%
Other values (126)16606
 
21.5%
(Missing)57285
74.2%
ValueCountFrequency (%)
09
 
< 0.1%
141
0.1%
252
0.1%
389
0.1%
479
0.1%
ValueCountFrequency (%)
1771
< 0.1%
1511
< 0.1%
1501
< 0.1%
1462
< 0.1%
1421
< 0.1%

mths_since_recent_bc
Real number (ℝ≥0)

MISSING

Distinct338
Distinct (%)0.4%
Missing1047
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean25.26194293
Minimum0
Maximum551
Zeros508
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:40.828821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median14
Q330
95-th percentile89
Maximum551
Range551
Interquartile range (IQR)24

Descriptive statistics

Standard deviation33.22145902
Coefficient of variation (CV)1.315079332
Kurtosis20.64071414
Mean25.26194293
Median Absolute Deviation (MAD)9
Skewness3.587912307
Sum1922737
Variance1103.665339
MonotonicityNot monotonic
2021-05-11T22:21:40.931844image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33467
 
4.5%
43407
 
4.4%
53317
 
4.3%
23196
 
4.1%
62861
 
3.7%
72748
 
3.6%
82692
 
3.5%
92548
 
3.3%
12472
 
3.2%
122394
 
3.1%
Other values (328)47010
60.9%
ValueCountFrequency (%)
0508
 
0.7%
12472
3.2%
23196
4.1%
33467
4.5%
43407
4.4%
ValueCountFrequency (%)
5511
< 0.1%
5201
< 0.1%
4881
< 0.1%
4531
< 0.1%
4451
< 0.1%

mths_since_recent_bc_dlq
Real number (ℝ≥0)

MISSING

Distinct131
Distinct (%)0.8%
Missing59765
Missing (%)77.5%
Infinite0
Infinite (%)0.0%
Mean37.99954007
Minimum0
Maximum150
Zeros35
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:41.045870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q120
median35
Q354
95-th percentile77
Maximum150
Range150
Interquartile range (IQR)34

Descriptive statistics

Standard deviation22.53914614
Coefficient of variation (CV)0.5931426036
Kurtosis-0.3110550043
Mean37.99954007
Median Absolute Deviation (MAD)16
Skewness0.4888227856
Sum660964
Variance508.0131085
MonotonicityNot monotonic
2021-05-11T22:21:41.152894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32323
 
0.4%
31310
 
0.4%
22300
 
0.4%
35297
 
0.4%
34296
 
0.4%
33296
 
0.4%
43293
 
0.4%
30290
 
0.4%
18290
 
0.4%
42288
 
0.4%
Other values (121)14411
 
18.7%
(Missing)59765
77.5%
ValueCountFrequency (%)
035
 
< 0.1%
185
0.1%
299
0.1%
3125
0.2%
4173
0.2%
ValueCountFrequency (%)
1501
< 0.1%
1462
< 0.1%
1451
< 0.1%
1401
< 0.1%
1311
< 0.1%

mths_since_recent_inq
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)< 0.1%
Missing9243
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean7.165012663
Minimum0
Maximum24
Zeros5742
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:41.257920image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q311
95-th percentile19
Maximum24
Range24
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.994870937
Coefficient of variation (CV)0.8366867191
Kurtosis-0.1832724765
Mean7.165012663
Median Absolute Deviation (MAD)4
Skewness0.8271823391
Sum486619
Variance35.93847755
MonotonicityNot monotonic
2021-05-11T22:21:41.356941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
17057
 
9.1%
25996
 
7.8%
05742
 
7.4%
35453
 
7.1%
44941
 
6.4%
54285
 
5.6%
63776
 
4.9%
73540
 
4.6%
83258
 
4.2%
92917
 
3.8%
Other values (15)20951
27.2%
(Missing)9243
12.0%
ValueCountFrequency (%)
05742
7.4%
17057
9.1%
25996
7.8%
35453
7.1%
44941
6.4%
ValueCountFrequency (%)
24310
 
0.4%
23595
0.8%
22689
0.9%
21788
1.0%
20873
1.1%

mths_since_rcnt_il
Real number (ℝ≥0)

MISSING

Distinct254
Distinct (%)0.4%
Missing4879
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean21.81672662
Minimum0
Maximum424
Zeros48
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:41.469966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median14
Q325
95-th percentile72
Maximum424
Range424
Interquartile range (IQR)18

Descriptive statistics

Standard deviation26.18977744
Coefficient of variation (CV)1.200444865
Kurtosis18.18216918
Mean21.81672662
Median Absolute Deviation (MAD)8
Skewness3.454350982
Sum1576913
Variance685.9044422
MonotonicityNot monotonic
2021-05-11T22:21:41.573991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33286
 
4.3%
43131
 
4.1%
72885
 
3.7%
22813
 
3.6%
62727
 
3.5%
82721
 
3.5%
52695
 
3.5%
112649
 
3.4%
92592
 
3.4%
122581
 
3.3%
Other values (244)44200
57.3%
(Missing)4879
 
6.3%
ValueCountFrequency (%)
048
 
0.1%
11494
1.9%
22813
3.6%
33286
4.3%
43131
4.1%
ValueCountFrequency (%)
4241
< 0.1%
4211
< 0.1%
4142
< 0.1%
4071
< 0.1%
3751
< 0.1%

mths_since_last_delinq
Real number (ℝ≥0)

MISSING

Distinct123
Distinct (%)0.3%
Missing39645
Missing (%)51.4%
Infinite0
Infinite (%)0.0%
Mean34.10262835
Minimum0
Maximum150
Zeros66
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:41.685015image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q116
median31
Q349
95-th percentile74
Maximum150
Range150
Interquartile range (IQR)33

Descriptive statistics

Standard deviation21.88856168
Coefficient of variation (CV)0.6418438324
Kurtosis-0.6213185969
Mean34.10262835
Median Absolute Deviation (MAD)17
Skewness0.4971936424
Sum1279326
Variance479.1091323
MonotonicityNot monotonic
2021-05-11T22:21:41.794039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6794
 
1.0%
9781
 
1.0%
7765
 
1.0%
12732
 
0.9%
13710
 
0.9%
8705
 
0.9%
10693
 
0.9%
18692
 
0.9%
11679
 
0.9%
19665
 
0.9%
Other values (113)30298
39.3%
(Missing)39645
51.4%
ValueCountFrequency (%)
066
 
0.1%
1234
0.3%
2355
0.5%
3437
0.6%
4506
0.7%
ValueCountFrequency (%)
1501
< 0.1%
1462
< 0.1%
1421
< 0.1%
1311
< 0.1%
1281
< 0.1%

mths_since_recent_revol_delinq
Real number (ℝ≥0)

MISSING

Distinct137
Distinct (%)0.5%
Missing51792
Missing (%)67.1%
Infinite0
Infinite (%)0.0%
Mean34.96712264
Minimum0
Maximum177
Zeros57
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:41.912066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q117
median32
Q349
95-th percentile76
Maximum177
Range177
Interquartile range (IQR)32

Descriptive statistics

Standard deviation22.24966974
Coefficient of variation (CV)0.6363025624
Kurtosis-0.09559463036
Mean34.96712264
Median Absolute Deviation (MAD)16
Skewness0.6225659719
Sum887011
Variance495.0478034
MonotonicityNot monotonic
2021-05-11T22:21:42.021593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9501
 
0.6%
18492
 
0.6%
19469
 
0.6%
20466
 
0.6%
6465
 
0.6%
22464
 
0.6%
12462
 
0.6%
32459
 
0.6%
7454
 
0.6%
13449
 
0.6%
Other values (127)20686
 
26.8%
(Missing)51792
67.1%
ValueCountFrequency (%)
057
 
0.1%
1148
0.2%
2203
0.3%
3247
0.3%
4309
0.4%
ValueCountFrequency (%)
1771
< 0.1%
1501
< 0.1%
1462
< 0.1%
1451
< 0.1%
1422
< 0.1%

mo_sin_old_il_acct
Real number (ℝ≥0)

MISSING

Distinct434
Distinct (%)0.6%
Missing2437
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean124.8520516
Minimum0
Maximum999
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:42.146622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q191
median130
Q3154
95-th percentile214
Maximum999
Range999
Interquartile range (IQR)63

Descriptive statistics

Standard deviation55.05495386
Coefficient of variation (CV)0.4409615473
Kurtosis3.585459529
Mean124.8520516
Median Absolute Deviation (MAD)29
Skewness0.5020735314
Sum9329195
Variance3031.047944
MonotonicityNot monotonic
2021-05-11T22:21:42.263648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131959
 
1.2%
124903
 
1.2%
134899
 
1.2%
130894
 
1.2%
133893
 
1.2%
136892
 
1.2%
123885
 
1.1%
132883
 
1.1%
121876
 
1.1%
142870
 
1.1%
Other values (424)65768
85.2%
(Missing)2437
 
3.2%
ValueCountFrequency (%)
01
 
< 0.1%
114
 
< 0.1%
240
0.1%
355
0.1%
460
0.1%
ValueCountFrequency (%)
9992
< 0.1%
6771
< 0.1%
6091
< 0.1%
5621
< 0.1%
5521
< 0.1%

mo_sin_old_rev_tl_op
Real number (ℝ≥0)

Distinct657
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.421584
Minimum3
Maximum821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:42.662739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile44
Q1115
median161
Q3231
95-th percentile371
Maximum821
Range818
Interquartile range (IQR)116

Descriptive statistics

Standard deviation99.8356407
Coefficient of variation (CV)0.5564304944
Kurtosis1.281477517
Mean179.421584
Median Absolute Deviation (MAD)57
Skewness0.9801326024
Sum13843990
Variance9967.155153
MonotonicityNot monotonic
2021-05-11T22:21:42.777765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135490
 
0.6%
130488
 
0.6%
121479
 
0.6%
136468
 
0.6%
141466
 
0.6%
133459
 
0.6%
123458
 
0.6%
129456
 
0.6%
132452
 
0.6%
145452
 
0.6%
Other values (647)72491
94.0%
ValueCountFrequency (%)
31
 
< 0.1%
41
 
< 0.1%
52
 
< 0.1%
65
< 0.1%
72
 
< 0.1%
ValueCountFrequency (%)
8211
< 0.1%
8031
< 0.1%
7851
< 0.1%
7381
< 0.1%
7311
< 0.1%

mo_sin_rcnt_rev_tl_op
Real number (ℝ≥0)

ZEROS

Distinct206
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.80187664
Minimum0
Maximum365
Zeros1299
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:42.900793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q318
95-th percentile47
Maximum365
Range365
Interquartile range (IQR)14

Descriptive statistics

Standard deviation18.30935449
Coefficient of variation (CV)1.236961699
Kurtosis21.58205766
Mean14.80187664
Median Absolute Deviation (MAD)6
Skewness3.604480607
Sum1142098
Variance335.2324618
MonotonicityNot monotonic
2021-05-11T22:21:43.010818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25333
 
6.9%
35180
 
6.7%
44925
 
6.4%
14725
 
6.1%
54410
 
5.7%
63840
 
5.0%
73668
 
4.8%
83373
 
4.4%
93036
 
3.9%
102612
 
3.4%
Other values (196)36057
46.7%
ValueCountFrequency (%)
01299
 
1.7%
14725
6.1%
25333
6.9%
35180
6.7%
44925
6.4%
ValueCountFrequency (%)
3651
< 0.1%
2921
< 0.1%
2891
< 0.1%
2671
< 0.1%
2621
< 0.1%

mo_sin_rcnt_tl
Real number (ℝ≥0)

ZEROS

Distinct141
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.674892106
Minimum0
Maximum257
Zeros1348
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:43.127844image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q311
95-th percentile24
Maximum257
Range257
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.356698493
Coefficient of variation (CV)1.078595374
Kurtosis39.26949088
Mean8.674892106
Median Absolute Deviation (MAD)4
Skewness4.287612059
Sum669346
Variance87.54780669
MonotonicityNot monotonic
2021-05-11T22:21:43.243871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27899
 
10.2%
37758
 
10.1%
46895
 
8.9%
16257
 
8.1%
55752
 
7.5%
64982
 
6.5%
74478
 
5.8%
83888
 
5.0%
93374
 
4.4%
102820
 
3.7%
Other values (131)23056
29.9%
ValueCountFrequency (%)
01348
 
1.7%
16257
8.1%
27899
10.2%
37758
10.1%
46895
8.9%
ValueCountFrequency (%)
2571
< 0.1%
1861
< 0.1%
1751
< 0.1%
1721
< 0.1%
1491
< 0.1%

open_act_il
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)0.1%
Missing2495
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2.826596486
Minimum0
Maximum39
Zeros8630
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:43.374903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile9
Maximum39
Range39
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.051640566
Coefficient of variation (CV)1.079616628
Kurtosis12.18280642
Mean2.826596486
Median Absolute Deviation (MAD)1
Skewness2.876036507
Sum211045
Variance9.312510142
MonotonicityNot monotonic
2021-05-11T22:21:43.487926image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
119151
24.8%
217653
22.9%
311212
14.5%
08630
11.2%
46128
 
7.9%
53377
 
4.4%
62010
 
2.6%
71413
 
1.8%
81047
 
1.4%
9821
 
1.1%
Other values (28)3222
 
4.2%
(Missing)2495
 
3.2%
ValueCountFrequency (%)
08630
11.2%
119151
24.8%
217653
22.9%
311212
14.5%
46128
 
7.9%
ValueCountFrequency (%)
391
< 0.1%
361
< 0.1%
351
< 0.1%
342
< 0.1%
331
< 0.1%

open_il_12m
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing2495
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean0.6102807243
Minimum0
Maximum6
Zeros42695
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:43.594950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8519510947
Coefficient of variation (CV)1.395998695
Kurtosis3.132045795
Mean0.6102807243
Median Absolute Deviation (MAD)0
Skewness1.614731795
Sum45566
Variance0.7258206677
MonotonicityNot monotonic
2021-05-11T22:21:43.682973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
042695
55.3%
121871
28.3%
27505
 
9.7%
31880
 
2.4%
4542
 
0.7%
5149
 
0.2%
622
 
< 0.1%
(Missing)2495
 
3.2%
ValueCountFrequency (%)
042695
55.3%
121871
28.3%
27505
 
9.7%
31880
 
2.4%
4542
 
0.7%
ValueCountFrequency (%)
622
 
< 0.1%
5149
 
0.2%
4542
 
0.7%
31880
 
2.4%
27505
9.7%

open_il_24m
Real number (ℝ≥0)

MISSING
ZEROS

Distinct16
Distinct (%)< 0.1%
Missing2495
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.473775849
Minimum0
Maximum16
Zeros21305
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:43.781006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum16
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.489970007
Coefficient of variation (CV)1.01098821
Kurtosis4.141000406
Mean1.473775849
Median Absolute Deviation (MAD)1
Skewness1.596684595
Sum110038
Variance2.220010623
MonotonicityNot monotonic
2021-05-11T22:21:43.868020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
123959
31.1%
021305
27.6%
215075
19.5%
37580
 
9.8%
43541
 
4.6%
51665
 
2.2%
6793
 
1.0%
7371
 
0.5%
8181
 
0.2%
9121
 
0.2%
Other values (6)73
 
0.1%
(Missing)2495
 
3.2%
ValueCountFrequency (%)
021305
27.6%
123959
31.1%
215075
19.5%
37580
 
9.8%
43541
 
4.6%
ValueCountFrequency (%)
161
 
< 0.1%
142
 
< 0.1%
135
 
< 0.1%
1215
< 0.1%
1119
< 0.1%

il_util
Real number (ℝ≥0)

MISSING

Distinct193
Distinct (%)0.3%
Missing13262
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean67.88468942
Minimum0
Maximum351
Zeros451
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:43.979052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q153
median70
Q385
95-th percentile102
Maximum351
Range351
Interquartile range (IQR)32

Descriptive statistics

Standard deviation24.47846333
Coefficient of variation (CV)0.3605888683
Kurtosis1.077886722
Mean67.88468942
Median Absolute Deviation (MAD)16
Skewness-0.2032076416
Sum4337628
Variance599.195167
MonotonicityNot monotonic
2021-05-11T22:21:44.100071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
721182
 
1.5%
751177
 
1.5%
801118
 
1.4%
831110
 
1.4%
731104
 
1.4%
701103
 
1.4%
811096
 
1.4%
691090
 
1.4%
711086
 
1.4%
771083
 
1.4%
Other values (183)52748
68.4%
(Missing)13262
 
17.2%
ValueCountFrequency (%)
0451
0.6%
117
 
< 0.1%
242
 
0.1%
3102
 
0.1%
474
 
0.1%
ValueCountFrequency (%)
3511
< 0.1%
3231
< 0.1%
3201
< 0.1%
2311
< 0.1%
2241
< 0.1%

bc_util
Real number (ℝ≥0)

MISSING
ZEROS

Distinct1117
Distinct (%)1.5%
Missing1154
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean54.58997566
Minimum0
Maximum178.3
Zeros1122
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:44.237116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.1
Q130.9
median55.4
Q380.2
95-th percentile97.3
Maximum178.3
Range178.3
Interquartile range (IQR)49.3

Descriptive statistics

Standard deviation28.99946964
Coefficient of variation (CV)0.531223348
Kurtosis-1.110698425
Mean54.58997566
Median Absolute Deviation (MAD)24.6
Skewness-0.1265071669
Sum4149111.1
Variance840.9692392
MonotonicityNot monotonic
2021-05-11T22:21:44.350141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01122
 
1.5%
99254
 
0.3%
98238
 
0.3%
96211
 
0.3%
95204
 
0.3%
97203
 
0.3%
92179
 
0.2%
88171
 
0.2%
94165
 
0.2%
100160
 
0.2%
Other values (1107)73098
94.7%
(Missing)1154
 
1.5%
ValueCountFrequency (%)
01122
1.5%
0.195
 
0.1%
0.273
 
0.1%
0.348
 
0.1%
0.451
 
0.1%
ValueCountFrequency (%)
178.31
< 0.1%
151.41
< 0.1%
142.71
< 0.1%
1371
< 0.1%
1361
< 0.1%

all_util
Real number (ℝ≥0)

MISSING

Distinct154
Distinct (%)0.2%
Missing2511
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean56.53083807
Minimum0
Maximum182
Zeros137
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:44.474169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q142
median57
Q371
95-th percentile90
Maximum182
Range182
Interquartile range (IQR)29

Descriptive statistics

Standard deviation21.31006931
Coefficient of variation (CV)0.3769636191
Kurtosis-0.07127300156
Mean56.53083807
Median Absolute Deviation (MAD)15
Skewness-0.0449939762
Sum4219914
Variance454.1190538
MonotonicityNot monotonic
2021-05-11T22:21:44.585175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
591439
 
1.9%
611419
 
1.8%
601410
 
1.8%
621404
 
1.8%
631375
 
1.8%
531348
 
1.7%
551348
 
1.7%
581330
 
1.7%
571328
 
1.7%
511319
 
1.7%
Other values (144)60928
79.0%
(Missing)2511
 
3.3%
ValueCountFrequency (%)
0137
0.2%
197
0.1%
282
0.1%
389
0.1%
4109
0.1%
ValueCountFrequency (%)
1821
< 0.1%
1771
< 0.1%
1641
< 0.1%
1611
< 0.1%
1551
< 0.1%

revol_util
Categorical

HIGH CARDINALITY

Distinct1074
Distinct (%)1.4%
Missing103
Missing (%)0.1%
Memory size602.9 KiB
0%
 
509
59%
 
167
54%
 
164
51%
 
162
43%
 
157
Other values (1069)
75897 

Unique

Unique41 ?
Unique (%)0.1%

Sample

1st row56.30%
2nd row43.50%
3rd row9.70%
4th row86.90%
5th row24.20%
ValueCountFrequency (%)
0%509
 
0.7%
59%167
 
0.2%
54%164
 
0.2%
51%162
 
0.2%
43%157
 
0.2%
60%157
 
0.2%
36%155
 
0.2%
53%155
 
0.2%
42%155
 
0.2%
55%153
 
0.2%
Other values (1064)75122
97.4%

open_rv_12m
Real number (ℝ≥0)

MISSING
ZEROS

Distinct20
Distinct (%)< 0.1%
Missing2495
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.229307297
Minimum0
Maximum22
Zeros28516
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:44.838234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.448808283
Coefficient of variation (CV)1.178556645
Kurtosis7.495193356
Mean1.229307297
Median Absolute Deviation (MAD)1
Skewness1.981412379
Sum91785
Variance2.099045441
MonotonicityNot monotonic
2021-05-11T22:21:44.920252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
028516
37.0%
122273
28.9%
212579
16.3%
35967
 
7.7%
42803
 
3.6%
51293
 
1.7%
6584
 
0.8%
7336
 
0.4%
8149
 
0.2%
976
 
0.1%
Other values (10)88
 
0.1%
(Missing)2495
 
3.2%
ValueCountFrequency (%)
028516
37.0%
122273
28.9%
212579
16.3%
35967
 
7.7%
42803
 
3.6%
ValueCountFrequency (%)
222
< 0.1%
201
 
< 0.1%
172
< 0.1%
161
 
< 0.1%
154
< 0.1%

open_rv_24m
Real number (ℝ≥0)

MISSING
ZEROS

Distinct33
Distinct (%)< 0.1%
Missing2495
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2.657090432
Minimum0
Maximum34
Zeros12541
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:45.015286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum34
Range34
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.516520522
Coefficient of variation (CV)0.947096302
Kurtosis6.970025014
Mean2.657090432
Median Absolute Deviation (MAD)1
Skewness1.899154687
Sum198389
Variance6.332875538
MonotonicityNot monotonic
2021-05-11T22:21:45.112309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
116324
21.2%
214369
18.6%
012541
16.3%
310800
14.0%
47251
9.4%
54811
 
6.2%
62990
 
3.9%
71990
 
2.6%
81210
 
1.6%
9807
 
1.0%
Other values (23)1571
 
2.0%
(Missing)2495
 
3.2%
ValueCountFrequency (%)
012541
16.3%
116324
21.2%
214369
18.6%
310800
14.0%
47251
9.4%
ValueCountFrequency (%)
341
 
< 0.1%
321
 
< 0.1%
301
 
< 0.1%
293
< 0.1%
283
< 0.1%

max_bal_bc
Real number (ℝ≥0)

MISSING
ZEROS

Distinct17054
Distinct (%)22.8%
Missing2495
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean5711.205012
Minimum0
Maximum571793
Zeros2122
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:45.227328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile301
Q12206
median4329
Q37465
95-th percentile16106
Maximum571793
Range571793
Interquartile range (IQR)5259

Descriptive statistics

Standard deviation5900.140827
Coefficient of variation (CV)1.033081603
Kurtosis1268.549545
Mean5711.205012
Median Absolute Deviation (MAD)2444
Skewness16.33796736
Sum426421411
Variance34811661.77
MonotonicityNot monotonic
2021-05-11T22:21:45.333358image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02122
 
2.8%
832
 
< 0.1%
200029
 
< 0.1%
300026
 
< 0.1%
400025
 
< 0.1%
500025
 
< 0.1%
180025
 
< 0.1%
280023
 
< 0.1%
240022
 
< 0.1%
196021
 
< 0.1%
Other values (17044)72314
93.7%
(Missing)2495
 
3.2%
ValueCountFrequency (%)
02122
2.8%
19
 
< 0.1%
213
 
< 0.1%
314
 
< 0.1%
411
 
< 0.1%
ValueCountFrequency (%)
5717931
< 0.1%
3250001
< 0.1%
1375891
< 0.1%
1339901
< 0.1%
1141651
< 0.1%

avg_cur_bal
Real number (ℝ≥0)

Distinct31197
Distinct (%)40.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean13693.83093
Minimum0
Maximum646339
Zeros38
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:45.453385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1018
Q13017
median7213.5
Q319130.25
95-th percentile44609.25
Maximum646339
Range646339
Interquartile range (IQR)16113.25

Descriptive statistics

Standard deviation16841.88393
Coefficient of variation (CV)1.229888408
Kurtosis51.88129155
Mean13693.83093
Median Absolute Deviation (MAD)5335.5
Skewness4.053050339
Sum1056506444
Variance283649054.3
MonotonicityNot monotonic
2021-05-11T22:21:45.560405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
038
 
< 0.1%
292919
 
< 0.1%
140618
 
< 0.1%
156918
 
< 0.1%
337518
 
< 0.1%
296018
 
< 0.1%
178517
 
< 0.1%
275717
 
< 0.1%
244517
 
< 0.1%
243517
 
< 0.1%
Other values (31187)76955
99.7%
ValueCountFrequency (%)
038
< 0.1%
14
 
< 0.1%
32
 
< 0.1%
42
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
6463391
< 0.1%
3893751
< 0.1%
3707431
< 0.1%
3452241
< 0.1%
3014251
< 0.1%

bc_open_to_buy
Real number (ℝ≥0)

MISSING
ZEROS

Distinct29322
Distinct (%)38.6%
Missing1116
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean12649.58028
Minimum0
Maximum349254
Zeros801
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:45.683438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile202
Q12096
median6367
Q316077.5
95-th percentile46214.9
Maximum349254
Range349254
Interquartile range (IQR)13981.5

Descriptive statistics

Standard deviation17674.28531
Coefficient of variation (CV)1.397223064
Kurtosis20.69791469
Mean12649.58028
Median Absolute Deviation (MAD)5264
Skewness3.463440516
Sum961912033
Variance312380361.3
MonotonicityNot monotonic
2021-05-11T22:21:45.802464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0801
 
1.0%
50076
 
0.1%
200074
 
0.1%
100060
 
0.1%
400056
 
0.1%
250053
 
0.1%
300052
 
0.1%
500052
 
0.1%
350052
 
0.1%
30045
 
0.1%
Other values (29312)74722
96.8%
(Missing)1116
 
1.4%
ValueCountFrequency (%)
0801
1.0%
18
 
< 0.1%
216
 
< 0.1%
310
 
< 0.1%
410
 
< 0.1%
ValueCountFrequency (%)
3492541
< 0.1%
3475671
< 0.1%
2440111
< 0.1%
2424531
< 0.1%
2387171
< 0.1%

recoveries
Real number (ℝ≥0)

ZEROS

Distinct5971
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.6207665
Minimum0
Maximum34182.84
Zeros70460
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:45.934489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1102.465
Maximum34182.84
Range34182.84
Interquartile range (IQR)0

Descriptive statistics

Standard deviation759.3200689
Coefficient of variation (CV)4.787015508
Kurtosis175.0941821
Mean158.6207665
Median Absolute Deviation (MAD)0
Skewness9.689630714
Sum12239019.72
Variance576566.967
MonotonicityNot monotonic
2021-05-11T22:21:46.045526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
070460
91.3%
15089
 
0.1%
20067
 
0.1%
10066
 
0.1%
5059
 
0.1%
25044
 
0.1%
2527
 
< 0.1%
30027
 
< 0.1%
35020
 
< 0.1%
40017
 
< 0.1%
Other values (5961)6283
 
8.1%
ValueCountFrequency (%)
070460
91.3%
201
 
< 0.1%
24.171
 
< 0.1%
2527
 
< 0.1%
25.791
 
< 0.1%
ValueCountFrequency (%)
34182.841
< 0.1%
22942.161
< 0.1%
22697.321
< 0.1%
206161
< 0.1%
19984.771
< 0.1%

chargeoff_within_12_mths
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008359361837
Minimum0
Maximum5
Zeros76572
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:46.145538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1018000853
Coefficient of variation (CV)12.1779733
Kurtosis346.7628905
Mean0.008359361837
Median Absolute Deviation (MAD)0
Skewness15.63799018
Sum645
Variance0.01036325736
MonotonicityNot monotonic
2021-05-11T22:21:46.229568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
076572
99.2%
1546
 
0.7%
228
 
< 0.1%
310
 
< 0.1%
42
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
076572
99.2%
1546
 
0.7%
228
 
< 0.1%
310
 
< 0.1%
42
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
< 0.1%
310
 
< 0.1%
228
 
< 0.1%
1546
0.7%

collection_recovery_fee
Real number (ℝ≥0)

ZEROS

Distinct6015
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.85720731
Minimum0
Maximum6152.9112
Zeros70460
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:46.332591image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile189.68202
Maximum6152.9112
Range6152.9112
Interquartile range (IQR)0

Descriptive statistics

Standard deviation134.8712972
Coefficient of variation (CV)4.841522543
Kurtosis184.3472974
Mean27.85720731
Median Absolute Deviation (MAD)0
Skewness9.9637546
Sum2149434.259
Variance18190.26681
MonotonicityNot monotonic
2021-05-11T22:21:46.438602image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
070460
91.3%
2786
 
0.1%
3664
 
0.1%
1863
 
0.1%
954
 
0.1%
4540
 
0.1%
5425
 
< 0.1%
4.524
 
< 0.1%
6319
 
< 0.1%
7217
 
< 0.1%
Other values (6005)6307
 
8.2%
ValueCountFrequency (%)
070460
91.3%
3.18361
 
< 0.1%
3.61
 
< 0.1%
3.65921
 
< 0.1%
3.82641
 
< 0.1%
ValueCountFrequency (%)
6152.91121
< 0.1%
4129.58881
< 0.1%
4085.51761
< 0.1%
3710.881
< 0.1%
3597.25861
< 0.1%

collections_12_mths_ex_med
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02248603533
Minimum0
Maximum5
Zeros75573
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:46.535625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.163157986
Coefficient of variation (CV)7.255969474
Kurtosis97.57188697
Mean0.02248603533
Median Absolute Deviation (MAD)0
Skewness8.628557577
Sum1735
Variance0.02662052838
MonotonicityNot monotonic
2021-05-11T22:21:46.620637image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
075573
97.9%
11461
 
1.9%
2106
 
0.1%
315
 
< 0.1%
43
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
075573
97.9%
11461
 
1.9%
2106
 
0.1%
315
 
< 0.1%
43
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
43
 
< 0.1%
315
 
< 0.1%
2106
 
0.1%
11461
1.9%

num_accts_ever_120_pd
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.512344639
Minimum0
Maximum45
Zeros59899
Zeros (%)77.6%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:46.720659image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.46635099
Coefficient of variation (CV)2.862040273
Kurtosis68.39679561
Mean0.512344639
Median Absolute Deviation (MAD)0
Skewness6.181207531
Sum39532
Variance2.150185227
MonotonicityNot monotonic
2021-05-11T22:21:46.817682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
059899
77.6%
19223
 
12.0%
23487
 
4.5%
31603
 
2.1%
41000
 
1.3%
5623
 
0.8%
6428
 
0.6%
7280
 
0.4%
8181
 
0.2%
999
 
0.1%
Other values (23)336
 
0.4%
ValueCountFrequency (%)
059899
77.6%
19223
 
12.0%
23487
 
4.5%
31603
 
2.1%
41000
 
1.3%
ValueCountFrequency (%)
451
< 0.1%
361
< 0.1%
351
< 0.1%
331
< 0.1%
301
< 0.1%

num_actv_bc_tl
Real number (ℝ≥0)

ZEROS

Distinct28
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.612008968
Minimum0
Maximum29
Zeros2173
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:46.920724image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum29
Range29
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.381453348
Coefficient of variation (CV)0.6593154583
Kurtosis4.558313017
Mean3.612008968
Median Absolute Deviation (MAD)1
Skewness1.526674259
Sum278699
Variance5.671320051
MonotonicityNot monotonic
2021-05-11T22:21:47.017746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
215817
20.5%
315751
20.4%
411948
15.5%
110056
13.0%
58161
10.6%
65141
 
6.7%
73090
 
4.0%
02173
 
2.8%
81935
 
2.5%
91168
 
1.5%
Other values (18)1919
 
2.5%
ValueCountFrequency (%)
02173
 
2.8%
110056
13.0%
215817
20.5%
315751
20.4%
411948
15.5%
ValueCountFrequency (%)
291
 
< 0.1%
261
 
< 0.1%
252
< 0.1%
244
< 0.1%
234
< 0.1%

num_actv_rev_tl
Real number (ℝ≥0)

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.442825853
Minimum0
Maximum44
Zeros552
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:47.509852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q37
95-th percentile12
Maximum44
Range44
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.418811177
Coefficient of variation (CV)0.6281316488
Kurtosis4.904826513
Mean5.442825853
Median Absolute Deviation (MAD)2
Skewness1.622732073
Sum419963
Variance11.68826987
MonotonicityNot monotonic
2021-05-11T22:21:47.606879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
411576
15.0%
311389
14.8%
510475
13.6%
28515
11.0%
68221
10.7%
76430
8.3%
84564
 
5.9%
13802
 
4.9%
93321
 
4.3%
102285
 
3.0%
Other values (28)6581
8.5%
ValueCountFrequency (%)
0552
 
0.7%
13802
 
4.9%
28515
11.0%
311389
14.8%
411576
15.0%
ValueCountFrequency (%)
441
 
< 0.1%
381
 
< 0.1%
364
< 0.1%
343
< 0.1%
331
 
< 0.1%

num_bc_sats
Real number (ℝ≥0)

ZEROS

Distinct39
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.732007932
Minimum0
Maximum45
Zeros1062
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:47.710891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q36
95-th percentile11
Maximum45
Range45
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.124581851
Coefficient of variation (CV)0.6603078219
Kurtosis6.181145718
Mean4.732007932
Median Absolute Deviation (MAD)2
Skewness1.738561192
Sum365117
Variance9.763011742
MonotonicityNot monotonic
2021-05-11T22:21:47.807914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
313151
17.0%
412135
15.7%
211078
14.4%
59743
12.6%
67265
9.4%
15976
7.7%
75073
 
6.6%
83617
 
4.7%
92434
 
3.2%
101667
 
2.2%
Other values (29)5020
 
6.5%
ValueCountFrequency (%)
01062
 
1.4%
15976
7.7%
211078
14.4%
313151
17.0%
412135
15.7%
ValueCountFrequency (%)
451
< 0.1%
421
< 0.1%
401
< 0.1%
381
< 0.1%
371
< 0.1%

num_bc_tl
Real number (ℝ≥0)

Distinct51
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.080638681
Minimum0
Maximum58
Zeros328
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:47.913949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile15
Maximum58
Range58
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.466702117
Coefficient of variation (CV)0.6308332225
Kurtosis4.673477194
Mean7.080638681
Median Absolute Deviation (MAD)3
Skewness1.541014208
Sum546335
Variance19.9514278
MonotonicityNot monotonic
2021-05-11T22:21:48.019973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48772
11.4%
58653
11.2%
68075
10.5%
37656
9.9%
76992
9.1%
85998
7.8%
25424
7.0%
94941
 
6.4%
103982
 
5.2%
113114
 
4.0%
Other values (41)13552
17.6%
ValueCountFrequency (%)
0328
 
0.4%
12333
 
3.0%
25424
7.0%
37656
9.9%
48772
11.4%
ValueCountFrequency (%)
582
< 0.1%
571
< 0.1%
551
< 0.1%
511
< 0.1%
491
< 0.1%

num_il_tl
Real number (ℝ≥0)

ZEROS

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.258634767
Minimum0
Maximum89
Zeros2449
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:48.138988image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q311
95-th percentile23
Maximum89
Range89
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.322986188
Coefficient of variation (CV)0.8867066282
Kurtosis7.330532553
Mean8.258634767
Median Absolute Deviation (MAD)3
Skewness2.117460555
Sum637228
Variance53.62612671
MonotonicityNot monotonic
2021-05-11T22:21:48.246012image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37004
 
9.1%
46737
 
8.7%
56430
 
8.3%
26389
 
8.3%
65765
 
7.5%
75216
 
6.8%
14947
 
6.4%
84517
 
5.9%
93750
 
4.9%
103389
 
4.4%
Other values (67)23015
29.8%
ValueCountFrequency (%)
02449
 
3.2%
14947
6.4%
26389
8.3%
37004
9.1%
46737
8.7%
ValueCountFrequency (%)
891
< 0.1%
841
< 0.1%
811
< 0.1%
791
< 0.1%
761
< 0.1%

num_op_rev_tl
Real number (ℝ≥0)

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.01443772
Minimum0
Maximum63
Zeros75
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:48.358043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q310
95-th percentile17
Maximum63
Range63
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.747997591
Coefficient of variation (CV)0.5924305306
Kurtosis4.544826568
Mean8.01443772
Median Absolute Deviation (MAD)3
Skewness1.548374934
Sum618386
Variance22.54348112
MonotonicityNot monotonic
2021-05-11T22:21:48.467074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58322
10.8%
68125
10.5%
47649
9.9%
77553
9.8%
86710
8.7%
35813
 
7.5%
95703
 
7.4%
104694
 
6.1%
113759
 
4.9%
23476
 
4.5%
Other values (44)15355
19.9%
ValueCountFrequency (%)
075
 
0.1%
1927
 
1.2%
23476
4.5%
35813
7.5%
47649
9.9%
ValueCountFrequency (%)
631
< 0.1%
581
< 0.1%
531
< 0.1%
511
< 0.1%
501
< 0.1%

num_rev_accts
Real number (ℝ≥0)

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.96522765
Minimum2
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:48.590100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q317
95-th percentile28
Maximum107
Range105
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.77284634
Coefficient of variation (CV)0.5995148371
Kurtosis4.161697864
Mean12.96522765
Median Absolute Deviation (MAD)4
Skewness1.487686841
Sum1000384
Variance60.41714023
MonotonicityNot monotonic
2021-05-11T22:21:48.702109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85123
 
6.6%
94965
 
6.4%
104904
 
6.4%
74865
 
6.3%
114508
 
5.8%
64486
 
5.8%
124292
 
5.6%
53929
 
5.1%
133907
 
5.1%
143621
 
4.7%
Other values (67)32559
42.2%
ValueCountFrequency (%)
21212
 
1.6%
32127
2.8%
43170
4.1%
53929
5.1%
64486
5.8%
ValueCountFrequency (%)
1071
< 0.1%
1041
< 0.1%
921
< 0.1%
902
< 0.1%
831
< 0.1%

num_rev_tl_bal_gt_0
Real number (ℝ≥0)

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.365142109
Minimum0
Maximum39
Zeros531
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:48.809133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q37
95-th percentile12
Maximum39
Range39
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.281323156
Coefficient of variation (CV)0.6116004179
Kurtosis4.131205765
Mean5.365142109
Median Absolute Deviation (MAD)2
Skewness1.500499696
Sum413969
Variance10.76708165
MonotonicityNot monotonic
2021-05-11T22:21:48.911163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
411720
15.2%
311519
14.9%
510610
13.8%
28554
11.1%
68340
10.8%
76490
8.4%
84565
 
5.9%
13774
 
4.9%
93273
 
4.2%
102219
 
2.9%
Other values (25)6095
7.9%
ValueCountFrequency (%)
0531
 
0.7%
13774
 
4.9%
28554
11.1%
311519
14.9%
411720
15.2%
ValueCountFrequency (%)
391
 
< 0.1%
362
< 0.1%
342
< 0.1%
311
 
< 0.1%
303
< 0.1%

num_sats
Real number (ℝ≥0)

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.43056546
Minimum0
Maximum74
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:49.028189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median10
Q314
95-th percentile22
Maximum74
Range74
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.738928333
Coefficient of variation (CV)0.5020686295
Kurtosis3.092199544
Mean11.43056546
Median Absolute Deviation (MAD)3
Skewness1.291079736
Sum881971
Variance32.93529841
MonotonicityNot monotonic
2021-05-11T22:21:49.135214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96641
 
8.6%
86320
 
8.2%
106183
 
8.0%
76022
 
7.8%
115865
 
7.6%
65253
 
6.8%
125093
 
6.6%
134544
 
5.9%
54069
 
5.3%
143821
 
5.0%
Other values (50)23348
30.3%
ValueCountFrequency (%)
06
 
< 0.1%
1104
 
0.1%
2527
 
0.7%
31422
1.8%
42721
3.5%
ValueCountFrequency (%)
741
 
< 0.1%
641
 
< 0.1%
601
 
< 0.1%
561
 
< 0.1%
553
< 0.1%

num_tl_90g_dpd_24m
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08635415182
Minimum0
Maximum36
Zeros73097
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:49.243238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.570806478
Coefficient of variation (CV)6.610064091
Kurtosis640.1712833
Mean0.08635415182
Median Absolute Deviation (MAD)0
Skewness18.96225111
Sum6663
Variance0.3258200353
MonotonicityNot monotonic
2021-05-11T22:21:49.333271image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
073097
94.7%
13043
 
3.9%
2557
 
0.7%
3175
 
0.2%
4101
 
0.1%
545
 
0.1%
636
 
< 0.1%
727
 
< 0.1%
820
 
< 0.1%
1112
 
< 0.1%
Other values (15)46
 
0.1%
ValueCountFrequency (%)
073097
94.7%
13043
 
3.9%
2557
 
0.7%
3175
 
0.2%
4101
 
0.1%
ValueCountFrequency (%)
361
< 0.1%
301
< 0.1%
261
< 0.1%
241
< 0.1%
221
< 0.1%

num_tl_op_past_12m
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.948120116
Minimum0
Maximum23
Zeros16593
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:49.432293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.778156619
Coefficient of variation (CV)0.9127551245
Kurtosis4.067641193
Mean1.948120116
Median Absolute Deviation (MAD)1
Skewness1.461830696
Sum150315
Variance3.16184096
MonotonicityNot monotonic
2021-05-11T22:21:49.526303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
120264
26.3%
216655
21.6%
016593
21.5%
311089
14.4%
46162
 
8.0%
53161
 
4.1%
61563
 
2.0%
7816
 
1.1%
8384
 
0.5%
9211
 
0.3%
Other values (12)261
 
0.3%
ValueCountFrequency (%)
016593
21.5%
120264
26.3%
216655
21.6%
311089
14.4%
46162
 
8.0%
ValueCountFrequency (%)
231
 
< 0.1%
221
 
< 0.1%
211
 
< 0.1%
181
 
< 0.1%
175
< 0.1%

pct_tl_nvr_dlq
Real number (ℝ≥0)

Distinct459
Distinct (%)0.6%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean93.76267854
Minimum7.9
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:49.635321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7.9
5-th percentile73.3
Q190.9
median100
Q3100
95-th percentile100
Maximum100
Range92.1
Interquartile range (IQR)9.1

Descriptive statistics

Standard deviation9.76198641
Coefficient of variation (CV)0.1041137749
Kurtosis7.004828596
Mean93.76267854
Median Absolute Deviation (MAD)0
Skewness-2.324700077
Sum7234165.7
Variance95.29637866
MonotonicityNot monotonic
2021-05-11T22:21:49.761349image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10039541
51.2%
90982
 
1.3%
90.9921
 
1.2%
95906
 
1.2%
92.3887
 
1.1%
88.9876
 
1.1%
87.5852
 
1.1%
91.7838
 
1.1%
83.3832
 
1.1%
85.7826
 
1.1%
Other values (449)29693
38.5%
ValueCountFrequency (%)
7.91
< 0.1%
12.51
< 0.1%
13.31
< 0.1%
14.32
< 0.1%
15.81
< 0.1%
ValueCountFrequency (%)
10039541
51.2%
992
 
< 0.1%
98.93
 
< 0.1%
98.85
 
< 0.1%
98.715
 
< 0.1%

percent_bc_gt_75
Real number (ℝ≥0)

MISSING
ZEROS

Distinct145
Distinct (%)0.2%
Missing1119
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean38.43428261
Minimum0
Maximum100
Zeros24793
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:49.891381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median33.3
Q366.7
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)66.7

Descriptive statistics

Standard deviation36.27169924
Coefficient of variation (CV)0.9437329585
Kurtosis-1.149434769
Mean38.43428261
Median Absolute Deviation (MAD)33.3
Skewness0.4741452396
Sum2922542.85
Variance1315.636166
MonotonicityNot monotonic
2021-05-11T22:21:50.013419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024793
32.1%
10011740
15.2%
507423
 
9.6%
33.34967
 
6.4%
66.74204
 
5.4%
253447
 
4.5%
202262
 
2.9%
752248
 
2.9%
401740
 
2.3%
16.71522
 
2.0%
Other values (135)11694
15.2%
ValueCountFrequency (%)
024793
32.1%
0.251
 
< 0.1%
0.41
 
< 0.1%
11
 
< 0.1%
3.61
 
< 0.1%
ValueCountFrequency (%)
10011740
15.2%
95.22
 
< 0.1%
93.84
 
< 0.1%
93.31
 
< 0.1%
92.94
 
< 0.1%

pub_rec_bankruptcies
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1278658355
Minimum0
Maximum6
Zeros67544
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:50.106994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3462139781
Coefficient of variation (CV)2.707634739
Kurtosis9.513180977
Mean0.1278658355
Median Absolute Deviation (MAD)0
Skewness2.723098022
Sum9866
Variance0.1198641187
MonotonicityNot monotonic
2021-05-11T22:21:50.202560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
067544
87.5%
19411
 
12.2%
2173
 
0.2%
321
 
< 0.1%
46
 
< 0.1%
62
 
< 0.1%
52
 
< 0.1%
ValueCountFrequency (%)
067544
87.5%
19411
 
12.2%
2173
 
0.2%
321
 
< 0.1%
46
 
< 0.1%
ValueCountFrequency (%)
62
 
< 0.1%
52
 
< 0.1%
46
 
< 0.1%
321
 
< 0.1%
2173
0.2%

tax_liens
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03882891173
Minimum0
Maximum44
Zeros75278
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:50.298567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum44
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3528363479
Coefficient of variation (CV)9.086949189
Kurtosis3848.393992
Mean0.03882891173
Median Absolute Deviation (MAD)0
Skewness40.22451209
Sum2996
Variance0.1244934884
MonotonicityNot monotonic
2021-05-11T22:21:50.384588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
075278
97.6%
11287
 
1.7%
2361
 
0.5%
3133
 
0.2%
449
 
0.1%
519
 
< 0.1%
613
 
< 0.1%
810
 
< 0.1%
92
 
< 0.1%
72
 
< 0.1%
Other values (5)5
 
< 0.1%
ValueCountFrequency (%)
075278
97.6%
11287
 
1.7%
2361
 
0.5%
3133
 
0.2%
449
 
0.1%
ValueCountFrequency (%)
441
< 0.1%
291
< 0.1%
131
< 0.1%
111
< 0.1%
101
< 0.1%

revol_bal_joint
Real number (ℝ≥0)

MISSING

Distinct8706
Distinct (%)92.8%
Missing67777
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean32400.1472
Minimum0
Maximum357135
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:50.492613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5569.7
Q114580.75
median25756
Q342373
95-th percentile81167.05
Maximum357135
Range357135
Interquartile range (IQR)27792.25

Descriptive statistics

Standard deviation26588.31005
Coefficient of variation (CV)0.8206231254
Kurtosis13.47941459
Mean32400.1472
Median Absolute Deviation (MAD)13039.5
Skewness2.598746868
Sum303978181
Variance706938231.6
MonotonicityNot monotonic
2021-05-11T22:21:50.609639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05
 
< 0.1%
161944
 
< 0.1%
310253
 
< 0.1%
369853
 
< 0.1%
152753
 
< 0.1%
66133
 
< 0.1%
254173
 
< 0.1%
289013
 
< 0.1%
104203
 
< 0.1%
221613
 
< 0.1%
Other values (8696)9349
 
12.1%
(Missing)67777
87.8%
ValueCountFrequency (%)
05
< 0.1%
161
 
< 0.1%
441
 
< 0.1%
631
 
< 0.1%
851
 
< 0.1%
ValueCountFrequency (%)
3571351
< 0.1%
3248581
< 0.1%
2901511
< 0.1%
2727271
< 0.1%
2575941
< 0.1%

deferral_term
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.1%
Missing72668
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean2.27254509
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:50.722663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5838213737
Coefficient of variation (CV)0.2569019978
Kurtosis2.819975464
Mean2.27254509
Median Absolute Deviation (MAD)0
Skewness2.017464226
Sum10206
Variance0.3408473964
MonotonicityNot monotonic
2021-05-11T22:21:50.809684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
23587
 
4.6%
3584
 
0.8%
4320
 
0.4%
(Missing)72668
94.2%
ValueCountFrequency (%)
23587
4.6%
3584
 
0.8%
4320
 
0.4%
ValueCountFrequency (%)
4320
 
0.4%
3584
 
0.8%
23587
4.6%

hardship_amount
Real number (ℝ≥0)

MISSING
ZEROS

Distinct1445
Distinct (%)23.6%
Missing71042
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean157.217314
Minimum0
Maximum1793.18
Zeros3906
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:50.923723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3243.29
95-th percentile789.354
Maximum1793.18
Range1793.18
Interquartile range (IQR)243.29

Descriptive statistics

Standard deviation277.1109505
Coefficient of variation (CV)1.762598173
Kurtosis3.72594097
Mean157.217314
Median Absolute Deviation (MAD)0
Skewness2.018406738
Sum961698.31
Variance76790.47888
MonotonicityNot monotonic
2021-05-11T22:21:51.040736image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03906
 
5.1%
335.1211
 
< 0.1%
346.911
 
< 0.1%
851.5111
 
< 0.1%
163.4910
 
< 0.1%
324.6510
 
< 0.1%
238.179
 
< 0.1%
166.059
 
< 0.1%
196.188
 
< 0.1%
326.978
 
< 0.1%
Other values (1435)2124
 
2.8%
(Missing)71042
92.1%
ValueCountFrequency (%)
03906
5.1%
2.011
 
< 0.1%
7.821
 
< 0.1%
8.051
 
< 0.1%
8.631
 
< 0.1%
ValueCountFrequency (%)
1793.181
< 0.1%
1500.221
< 0.1%
1406.681
< 0.1%
1388.821
< 0.1%
1387.61
< 0.1%

hardship_payoff_balance_amount
Real number (ℝ≥0)

MISSING

Distinct5481
Distinct (%)89.6%
Missing71042
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean6925.184353
Minimum0
Maximum40306.41
Zeros621
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:51.180768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11325.24
median4178.3
Q310983.82
95-th percentile21473.39
Maximum40306.41
Range40306.41
Interquartile range (IQR)9658.58

Descriptive statistics

Standard deviation7026.968193
Coefficient of variation (CV)1.014697636
Kurtosis0.7262720614
Mean6925.184353
Median Absolute Deviation (MAD)3540.82
Skewness1.166462565
Sum42361352.69
Variance49378281.99
MonotonicityNot monotonic
2021-05-11T22:21:51.297794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0621
 
0.8%
9614.262
 
< 0.1%
12580.222
 
< 0.1%
3603.472
 
< 0.1%
3942.682
 
< 0.1%
2551.252
 
< 0.1%
8011.722
 
< 0.1%
1134.262
 
< 0.1%
19762
 
< 0.1%
1701.32
 
< 0.1%
Other values (5471)5478
 
7.1%
(Missing)71042
92.1%
ValueCountFrequency (%)
0621
0.8%
0.031
 
< 0.1%
1.321
 
< 0.1%
6.511
 
< 0.1%
8.151
 
< 0.1%
ValueCountFrequency (%)
40306.411
< 0.1%
39746.941
< 0.1%
383991
< 0.1%
36314.031
< 0.1%
35857.71
< 0.1%

hardship_last_payment_amount
Real number (ℝ≥0)

MISSING

Distinct3363
Distinct (%)55.0%
Missing71042
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean694.1791466
Minimum0.01
Maximum25970
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:51.418821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile56.838
Q1242.93
median400
Q3670.23
95-th percentile1318.214
Maximum25970
Range25969.99
Interquartile range (IQR)427.3

Descriptive statistics

Standard deviation1568.831655
Coefficient of variation (CV)2.259980961
Kurtosis87.6828297
Mean694.1791466
Median Absolute Deviation (MAD)203.82
Skewness8.494668962
Sum4246293.84
Variance2461232.761
MonotonicityNot monotonic
2021-05-11T22:21:51.537848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
320.0523
 
< 0.1%
332.123
 
< 0.1%
324.6520
 
< 0.1%
339.7920
 
< 0.1%
335.1219
 
< 0.1%
351.6718
 
< 0.1%
833.5718
 
< 0.1%
346.918
 
< 0.1%
576.4118
 
< 0.1%
476.3317
 
< 0.1%
Other values (3353)5923
 
7.7%
(Missing)71042
92.1%
ValueCountFrequency (%)
0.012
< 0.1%
0.042
< 0.1%
0.062
< 0.1%
0.081
< 0.1%
0.091
< 0.1%
ValueCountFrequency (%)
259701
< 0.1%
23406.441
< 0.1%
23200.171
< 0.1%
22251.911
< 0.1%
21671.881
< 0.1%

orig_projected_additional_accrued_interest
Real number (ℝ≥0)

MISSING

Distinct4911
Distinct (%)82.0%
Missing71170
Missing (%)92.2%
Infinite0
Infinite (%)0.0%
Mean223.8133542
Minimum0
Maximum5321.56
Zeros627
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size602.9 KiB
2021-05-11T22:21:51.650894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127.4
median97.77177
Q3304.68888
95-th percentile808.770852
Maximum5321.56
Range5321.56
Interquartile range (IQR)277.28888

Descriptive statistics

Standard deviation332.3692442
Coefficient of variation (CV)1.485028655
Kurtosis32.76015828
Mean223.8133542
Median Absolute Deviation (MAD)89.23401
Skewness4.164249814
Sum1340418.178
Variance110469.3145
MonotonicityNot monotonic
2021-05-11T22:21:51.765908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0627
 
0.8%
41.136
 
< 0.1%
348.815
 
< 0.1%
286.255
 
< 0.1%
20.495
 
< 0.1%
334.54
 
< 0.1%
88.84
 
< 0.1%
316.134
 
< 0.1%
13.734
 
< 0.1%
35.784
 
< 0.1%
Other values (4901)5321
 
6.9%
(Missing)71170
92.2%
ValueCountFrequency (%)
0627
0.8%
1.061281
 
< 0.1%
1.381
 
< 0.1%
1.391
 
< 0.1%
2.151
 
< 0.1%
ValueCountFrequency (%)
5321.561
< 0.1%
4613.921
< 0.1%
4052.321
< 0.1%
3918.561
< 0.1%
3908.431
< 0.1%